732 Data Scientists jobs in Singapore
Big Data Engineer
Posted 1 day ago
Job Viewed
Job Description
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.
Big Data Engineer
Posted 1 day ago
Job Viewed
Job Description
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
The developer is responsible to:
* 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
#J-18808-LjbffrBig Data Engineer
Posted 1 day ago
Job Viewed
Job Description
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
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Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology ConsultingSouth East Community Development Council, Singapore 1 week ago
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#J-18808-LjbffrBig Data Analyst
Posted 9 days ago
Job Viewed
Job Description
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.
Big Data Engineer
Posted today
Job Viewed
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.
- 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.
- 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.
- 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.
Big Data Engineer
Posted today
Job Viewed
Job Description
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.
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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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
TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.
Job highlights
Positive team atmosphere, Career growth opportunity, Paid leave, 100+ mil users, Meals provided
Responsibilities
Team Introduction
The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you
Responsibilities:
- Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse.
- Manage data modeling design, writing, and optimizing ETL jobs.
- Collaborate with the business team to building data metrics based on data warehouse.
- Responsible for building and maintaining data products.
- Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
- Visualise, interpret, and report data findings and may create dynamic data reports as well.
Qualifications
Minimum Qualifications:
- At least 5 years in software engineering and 2 years of relevant experience in data engineering.
- Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security.
- Familiar with data warehouse concept and have production experience in modeling design.
- Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).
- Familiar with at least 1 NoSQL database is a plus (e.g. HBase).
Preferred Qualifications:
- Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority.
- Strong collaboration skills with the ability to build rapport across teams and stakeholders.
Big Data Engineer
Posted today
Job Viewed
Job Description
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 ByteDance
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.
Job highlights
Positive team atmosphere, Career growth opportunity, Meals provided
Responsibilities
About the team
Libra is a large-scale online one-stop A/B testing platform developed by Data Platform. Some of its features include:
- Provides experimental evaluation services for all product lines within the company, covering solutions for complex scenarios such as recommendation, algorithm, function, UI, marketing, advertising, operation, social isolation, causal inference, etc.
- Provides services throughout the entire experimental lifecycle from experimental design, experimental creation, indicator calculation, statistical analysis to final evaluation launch.
- Supports the entire company's business on the road of rapid iterative trial and error, boldly assuming and carefully verifying.
Responsibilities
- Responsible for data system of experimentation platform operation and maintenance.
- Construct PB-level data warehouses, participate in and be responsible for data warehouse design, modeling, and development, etc.
- Build ETL data pipelines and automated ETL data pipeline systems.
- Build an expert system for metric data processing that combines offline and real-time processing.
Qualifications
Minimum Qualifications
- Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.
- Proficiency with big data frameworks such as Presto, Hive, Spark, Flink, Clickhouse, Hadoop, and have experience in large-scale data processing.
- Minimum 1 year of experience in Data Engineering.
- Experience writing code in Java, Scala, SQL, Python or a similar language.
- Experience with data warehouse implementation methodologies, and have supported actual business scenarios.
Preferred Qualifications
- Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design, job scheduling and dimensional modeling.
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions).
- Work/internship experience in internet companies, and those with big data processing experience are preferred.
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Big Data Developer
Posted today
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Job Description
Role: Big Data Developer
Contract: 1 year Renewable
Location: Changi
Experience required:
Interested candidates may also directly email their CVs to:
Only shortlisted candidates will be contacted for interview.
Data EngineerWe are looking for a profile that is a data engineer who have a background in Spark development
Job Duties & Responsibilities:
- Develop and maintain ETL processes for finance regulatory reporting projects and applications.
- Develop Big Data applications using the Agile Software development life cycle.
- Enhance existing applications based on mapping specifications provided by the Tech BA.
- Collaborate with the Tech BA and Scrum Master on project delivery and issue resolution.
- Contribute to the coding, testing, and Level 2/3 support of the data warehouse.
- Partner with business stakeholders to ensure requirements are met and collaborate with other technology teams (QA, Production Support) for effective implementation.
- Provide technical expertise to assist in designing, testing, and implementing software code and infrastructure to support data infrastructure and governance activities.
- Troubleshoot and resolve technical problems in applications or processes, providing effective solutions.
- Perform performance tuning using execution plans and other relevant tools.
- Continuously explore and evaluate evolving tools within the Hadoop ecosystem and apply them to relevant business challenges.
- Analyze and debug existing shell scripts, and enhance them as needed.
Required Skills:
- Bachelor's degree in Computer Science or a related field.
- Experience with Spark, HDFS, MapReduce, Hive, Impala, Sqoop, and Linux/Unix technologies.
- Hands-on experience with RDBMS technologies (e.g., Oracle, MariaDB).
- Strong analytical and problem-solving skills.
- Experience working with a Big Data implementation in a production environment.
- Familiarity with Unix shell scripting.
- Understanding of Agile methodology and experience working in an Agile development environment.
Oracle
Big Data
Scrum
Hadoop
ETL
MapReduce
MariaDB
Agile Methodology
SQL
Performance Tuning
Unix Shell Scripting
Project Delivery
Agile Software Development
Mapping
Agile Development
Big Data Specialist
Posted today
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Job Description
Senior Data Engineer - Big Data Expert
We are seeking a seasoned Senior Data Engineer to fill a key role in our data engineering team. This individual will be responsible for designing, developing, and maintaining robust data pipelines and architectures that enable efficient processing and storage of large datasets.
Key Responsibilities:- Design and develop scalable data pipelines using Azure Fabric to ingest, transform, and process structured and unstructured data from various sources.
- Build and manage data lakes and warehouses with optimized storage and retrieval mechanisms, creating data models tailored to business and analytics needs.
- Leverage cloud platforms to build high-performing, cost-effective, and reliable data systems.
- Establish data governance frameworks, validation processes, and quality checks to ensure data integrity, accuracy, and compliance.
- Monitor and continuously improve the performance and efficiency of data infrastructure and pipelines.
The ideal candidate will have a strong background in big data technologies, including Hadoop, Spark, and distributions like Cloudera, Hortonworks, or MapR. Experience with NoSQL databases such as MongoDB, Cassandra, Neo4J, or ElasticSearch is highly desirable. Proficiency in query engines like Hive, Spark SQL, or Impala, and experience with Power BI for dashboards and visualizations are required.
As a collaborative team player, this individual will work closely with cross-functional teams to deliver intelligent and high-impact solutions for clients. Staying up-to-date with the latest trends and tools in big data and data engineering, evaluating and adopting innovative technologies to drive business growth is essential.
Required Skills and Qualifications:
- Strong background in big data technologies
- Experience with Hadoop, Spark, and distributions like Cloudera, Hortonworks, or MapR
- Familiarity with NoSQL databases such as MongoDB, Cassandra, Neo4J, or ElasticSearch
- Proficiency in query engines like Hive, Spark SQL, or Impala
- Experience with Power BI for dashboards and visualizations
Benefits:
- Collaborative team environment
- Opportunity to work with cutting-edge technologies
- Continuous learning and professional growth
Why You'll Love Working Here:
- Collaborative team players who share knowledge and expertise
- Innovative and adaptable approach to problem-solving
- Commitment to delivering high-quality solutions
Big Data Expert
Posted today
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Job Description
We are seeking a skilled Data Engineer to design and implement big data systems that meet user needs.
Your responsibility will include building the company's big data warehouse system, including batch and stream data flow construction.
Key Responsibilities:- Develop ETL architecture to ensure smooth data integration
- Research cutting-edge big data technologies to optimize big data platforms continuously
- Bachelor degree or above in computer science, database management, machine learning and other related fields
- More than 3 years of data development work experience
- Proficient in SQL language and familiar with MySQL
- Very familiar with Shell, Java (Scala), Python
- Familiar with common ETL technologies and principles
- Rich experience in spark, MR task tuning
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