700 Big Data jobs in Singapore

Position Details:

Company : U3 Infotech (Payroll)

Role : Big Data Engineer

Position : Contract

Duration : 12+ Months

Location : Singapore

Job Description:

We are seeking a highly skilled and motivated Lead 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.

● Lead architecture discussions, including the creation and review of Entity Relationship Diagrams (ERDs) and overall system design.

● Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.

● 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 and leadership skills with experience mentoring engineering teams.

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.

About the Company

U3 Infotech is a Technology Solutions, Managed Services, and Talent Management Solutions company with over 2 decades of experience in the APAC region since 2002. Our clients include Fortune 100, MNCs, Leading Regional Organisations, Government organizations, and Startups. We work with clients across Banking, Insurance, Bio-Science, Pharmaceutical, Healthcare, Engineering, Product, and Supply Chain domains.

We have been growing rapidly through value creation, solving complex problems, and addressing the opportunities of our clients' businesses. We differentiate ourselves through our deep commitment at all levels, entrepreneurial mindset, outcome-driven approach, and financial resources.

Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Cheers Stay Safe & Healthy.

Thanks and Regards,

Raghunath

Senior Recruitment Consultant

Talent Acquisition Team

Mobile:

Email:

133 Cecil Street, Keck Seng Tower, #14-3,

Singapore

Singapore | Australia | Malaysia | Thailand

Vietnam | India | Philippines| Hong Kong

Job Types: Full-time, Contract

Contract length: 12 months

Pay: $10, $11,000.00 per month

Benefits:

• Health insurance

Work Location: In person

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.

Charles, Lau Ngie Hao License No.: 02C3423 Personnel Registration No.: R

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Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa. About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.

We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

• Design and implement a reasonable offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable and high-performance storage and computing systems
• Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• Applying 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

• Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience
• Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
• Effective communication skills and a sense of ownership and drive
• Experience of Peta Byte level data processing is a plus

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

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.

We are looking for a skilled Senior Big Data Developer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale big data systems.

• Design, develop, and deploy high-performance big data processing pipelines using various technologies such as Hadoop, Spark, and Flink.
• Work closely with cross-functional teams to understand business requirements and develop scalable solutions.
• Collaborate with other engineers to design and implement data warehousing and business intelligence solutions.
• Develop and maintain complex data models, including data transformation, aggregation, and analysis.
• Stay up-to-date with emerging trends and technologies in big data and data science.

This is a senior-level position that requires strong technical expertise, excellent communication skills, and a passion for working in a fast-paced environment.

You will work closely with other engineers, product managers, and stakeholders to identify business opportunities and develop innovative solutions.

The ideal candidate will have a strong background in computer science, mathematics, or a related field, and at least 4 years of experience in software development, data engineering, or a related role.

We are looking for someone who is passionate about learning, self-motivated, and able to work independently in a collaborative team environment.

• Strong understanding of big data technologies, including Hadoop, Spark, and NoSQL databases.
• Experience with programming languages such as Java, Python, and Scala.
• Familiarity with data warehousing and business intelligence tools such as Tableau and Power BI.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Strong communication and collaboration skills.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of machine learning algorithms and their application in big data.
• Fluency in SQL and ability to write efficient queries.

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.