21 days ago
Singapore, SingaporeSenior
Responsibilities
- Design, develop, and implement scalable data engineering solutions for PIPL program requirements.
- Build and maintain ETL/ELT pipelines using Python, SQL, and modern data engineering frameworks.
- Develop and manage data lakehouse architectures using Apache Iceberg and Snowflake.
- Create and support a dedicated China data environment on Alibaba Cloud for data processing, analytics, machine learning, and reporting.
- Automate data ingestion, transformation, validation, and reporting processes.
- Optimize data pipelines, storage, and query performance for scalability and reliability.
- Collaborate with architects, program leads, and business stakeholders to gather requirements and deliver data solutions.
- Ensure data quality, governance, security, and compliance with PIPL and enterprise standards.
- Monitor, troubleshoot, and resolve data platform and pipeline issues.
- Contribute to DataOps, CI/CD, automation, and cloud-native data engineering best practices.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- At least 5 years of experience in data engineering, data warehousing, or big data environments.
- Strong hands-on experience with Apache Iceberg, Snowflake, Python, and SQL.
- Experience designing and building ETL/ELT pipelines and data integration solutions.
- Understanding of data lake, lakehouse, and data warehouse architectures.
- Experience with cloud platforms, preferably Alibaba Cloud.
- Knowledge of distributed data processing technologies such as Apache Spark or Flink.
- Experience with data modeling, performance tuning, and data quality management.
- Familiarity with CI/CD pipelines, Git, and automation tools.
- Experience in regulatory or data privacy-focused environments such as PIPL or GDPR is advantageous.
- Strong analytical, problem-solving, and stakeholder management skills.
Benefits
- Singapore-based role with two positions available.
- Budget range stated as SGD 8,000–12,000.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.