483 Global Data jobs in Singapore

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

Job Description:

• We are seeking a highly skilled and motivated Big Data Engineer to join our data team. The ideal candidate will play a key role in designing, developing, and maintaining scalable big data solutions while providing technical leadership. This role will also support strategic Data Governance initiatives, ensuring data integrity, privacy, and accessibility across the organization.

Key Responsibilities:

• Design, implement, and optimize robust data pipelines and ETL/ELT workflows using SQL and Python.
• Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.
• Build synchronous and asynchronous data APIs for downstream systems to consume the data.
• Deploy and manage infrastructure using Terraform and other
• Infrastructure-as-Code (IaC) tools.
• Develop and maintain CI/CD pipelines for deploying data applications and services.
• Leverage strong experience in AWS services (e.g., S3, Glue, Lambda, RDS, Lake
• Formation) to support scalable and secure cloud-based data platforms.
• Handle both batch and real-time data processing effectively.
• Apply best practices in data modeling and support data privacy and data protection initiatives.
• Implement and manage data encryption and hashing techniques to secure sensitive information.
• Ensure adherence to software engineering best practices including version control, automated testing, and deployment standards.
• Lead performance tuning and troubleshooting for data applications and platforms.

Required Skills & Experience:

• Strong proficiency in SQL for data modeling, querying, and transformation.
• Advanced Python development skills with an emphasis on data engineering use cases.
• Hands-on experience with Terraform for cloud infrastructure provisioning.
• Proficiency with CI/CD tools, particularly GitHub Actions.
• Deep expertise in AWS cloud architecture and services.
• Demonstrated ability to create and evaluate ERDs and contribute to architectural decisions.
• Strong communication.

Preferred Qualifications:

• Experience with big data technologies such as Apache Spark, Hive, or Kafka.
• Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes) .
• Solid understanding of data governance, data quality, and security frameworks.

Get AI-powered advice on this job and more exclusive features.

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.

Skills Set And Track Record

• Good understanding and completion of projects using waterfall/Agile methodology
• Analytical, conceptualisation and problem-solving skills
• Good understanding of analytics and data warehouse implementations
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica
• Strong SQL and data analysis skills. Hands-on experience in data virtualisation tools like Denodo will be an added advantage
• Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is preferred
• Track record in implementing systems using Cloudera Data Platform will be an added advantage
• Motivated and self-driven, with ability to learn new concepts and tools in a short period of time
• Passion for automation, standardization, and best practices
• Good presentation skills are preferred
  
  

• Analyse the Client data needs and document the requirements
• Refine data collection/consumption by migrating data collection to more efficient channels
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs
• Develop test plan and scripts for system testing, support user acceptance testing
• Work with the Client technical teams to ensure smooth deployment and adoption of new solution
• Ensure the smooth operations and service level of IT solutions
• Support production issues

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Unison Consulting by 2x

Get notified about new Big Data Developer jobs in Singapore, Singapore .

South East Community Development Council, Singapore 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Job Responsibility:

• Work with data science team to complete game data analysis, including data logic combing, basic data processing, analysis and corresponding development work.
• Complete basic data analysis, machine learning analysis, and build the required data processing flow, data report visualization.
• Develop data processing pipelines for data modelling, analysis, and reporting from large and complex transaction datasets
• Ability to assist in supporting engineering development, data construction and maintenance when required.

Requirements:

• Degree in Computer Science or related technical field
• At least 2 years of experience in data analysis/data warehouse/mart development and BI reporting.
• At least 2 years of experience in ETL processing data.
• Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning, experience deploying models in production and adjusting model thresholds to improve performance is a plus.
• Familiarity with data visualization tools, such as Google Analytics or Tableau.

Get AI-powered advice on this job and more exclusive features.

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.
Skills Set And Track Record

• Good understanding and completion of projects using waterfall/Agile methodology
• Analytical, conceptualisation and problem-solving skills
• Good understanding of analytics and data warehouse implementations
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica
• Strong SQL and data analysis skills. Hands-on experience in data virtualisation tools like Denodo will be an added advantage
• Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is preferred
• Track record in implementing systems using Cloudera Data Platform will be an added advantage
• Motivated and self-driven, with ability to learn new concepts and tools in a short period of time
• Passion for automation, standardization, and best practices
• Good presentation skills are preferred
  

• Analyse the Client data needs and document the requirements
• Refine data collection/consumption by migrating data collection to more efficient channels
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs
• Develop test plan and scripts for system testing, support user acceptance testing
• Work with the Client technical teams to ensure smooth deployment and adoption of new solution
• Ensure the smooth operations and service level of IT solutions
• Support production issues

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Unison Consulting by 2x

Get notified about new Big Data Developer jobs in Singapore, Singapore .

Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

South East Community Development Council, Singapore 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Job Responsibility:

• Work with data science team to complete game data analysis, including data logic combing, basic data processing, analysis and corresponding development work.
• Complete basic data analysis, machine learning analysis, and build the required data processing flow, data report visualization.
• Develop data processing pipelines for data modelling, analysis, and reporting from large and complex transaction datasets
• Ability to assist in supporting engineering development, data construction and maintenance when required.

Requirements:

• Degree in Computer Science or related technical field
• At least 2 years of experience in data analysis/data warehouse/mart development and BI reporting.
• At least 2 years of experience in ETL processing data.
• Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning, experience deploying models in production and adjusting model thresholds to improve performance is a plus.
• Familiarity with data visualization tools, such as Google Analytics or Tableau.