Data Engineer (Data Integration) Min 6 Years of Exp.
Core
Designing, developing, and maintaining enterprise data integration solutions to move data from operational and external sources into business intelligence and analytics environments.
Role type
Senior Data Engineer (Data Integration)
Builds
ETL processes and data integration workflows for enterprise data warehouses and BI environments
Domain
Information Technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL development, data integration, data transformation, data quality, SQL, relational database management, data warehousing, data mapping, performance tuning, troubleshooting ETL workflows, data governance, metadata management
Preferred skills
Cloud-based data integration platforms (Azure, AWS, Google Cloud), Big Data technologies (Hadoop, Spark), Python or Shell scripting, CI/CD pipelines, DevOps practices
Technologies
Informatica PowerCenter, IBM DataStage, Ab Initio, Oracle, SQL Server, PostgreSQL, Azure, AWS, Google Cloud, Hadoop, Spark
Responsibilities
Design, develop, and maintain enterprise data integration and ETL solutions; Build ETL processes to integrate data from multiple source systems; Develop data mappings, transformation logic, workflows, and reusable integration components; Ensure data quality, integrity, consistency, and completeness; Monitor, troubleshoot, and optimize ETL jobs for performance and reliability; Support data migration, reconciliation, validation, and production deployments; Participate in data modeling, data profiling, and metadata management activities; Develop and maintain technical documentation, ETL specifications, and operational procedures
Seniority
Senior, hands-on IC
