Senior Data Engineer
Core
Design and build scalable data pipelines and enterprise data platforms for Global Banking clients to enable analytics and reporting.
Role type
Senior IC data engineer (Java, ETL, Cloud)
Builds
Scalable ETL/data integration pipelines and enterprise data platforms
Domain
Banking / Data Engineering
Required skills
Java (Spring Boot), ETL/Data Pipeline Engineering, Public Cloud Platforms (GCP/AWS/Azure), SQL, Data Modeling, Data Warehousing, Data Architecture
Preferred skills
Cloud-native data services (BigQuery, Dataflow, Redshift, Snowflake, Databricks, Azure Data Factory), CRM/Customer Data Platforms, Data Governance, BI/Visualization tools (Looker, Power BI, Tableau)
Technologies
Java, Spring Boot, GCP, AWS, Azure, BigQuery, Dataflow, Redshift, Snowflake, Databricks, Azure Data Factory, SQL, Looker, Power BI, Tableau
Responsibilities
Design, build, and maintain scalable ETL and data integration pipelines; Develop and enhance data solutions using public cloud technologies; Support enterprise data platforms and related business applications; Work closely with business stakeholders, analysts, and technical teams to translate requirements into technical solutions; Develop, optimize, and maintain data processing workflows to improve performance and scalability; Ensure data quality, governance, security, and integrity across data platforms; Troubleshoot and resolve data platform and pipeline issues
Seniority
Senior, hands-on IC
