Senior Software Engineer (AWS / Snowflake)

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