Back to SearchSenior Software Engineer (AWS / Snowflake)
Hybrid in Singapore
Data Software Engineering& 5 others
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We are seeking a Senior Data Engineer (AWS/ Snowflake) in Singapore. You will design and build reliable data pipelines, curate raw data into an in-house data warehouse and deliver trusted datasets for BI and advanced analytics. You will also drive data quality improvements and support platform migrations in a regulated environment.
Responsibilities
- Analyze internal and external raw data to produce analytics-ready datasets aligned to stakeholder needs
- Design data pipelines that curate and load data into the in-house data warehouse
- Build and support data marts that enable self-service consumption for business and IT teams
- Maintain warehouse housekeeping routines to keep data accurate, available and cost-effective
- Develop prototypes and analytical tooling to improve BI and advanced analytics workflows
- Improve data quality and reliability through validation, monitoring and root-cause fixes
- Plan and execute migration activities from existing databases to the in-house data warehouse
- Champion data engineering standards and practical best practices across the team
Requirements
- Proven experience building data pipelines and warehouse datasets for BI and analytics use cases
- Hands-on experience with Amazon Web Services (AWS) services such as Amazon RDS and AWS Fargate
- Strong knowledge of Snowflake, including performance and data modeling considerations
- Working knowledge of extract, transform, load (ETL) patterns and data warehousing concepts
- Proficiency in programming with Python and/or Java for data engineering workloads
- Experience with ETL tooling such as AWS Glue
- Knowledge of relational databases such as PostgreSQL and Microsoft SQL Server
- Clear communication with the ability to align stakeholders on requirements and delivery
Nice to have
- Certification in AWS Data Engineer Specialty or AWS Solution Architect Associate
- Experience working in financial services or other regulated environments
- Familiarity with enterprise agile ways of working such as Scrum, Kanban or SAFe