Data Engineer (7.1-9 years)
Core
Design and implement data pipelines, ETL workflows, and analytics solutions for banking and financial services clients using Oracle and Python.
Role type
Senior Data Engineer (ETL & Analytics)
Builds
Scalable data-processing pipelines, ETL workflows, and analytics solutions
Domain
Banking, Financial Services, Energy
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Oracle PL/SQL, Python, Apache Airflow, PySpark, Git, Data Quality Rules, Workflow Automation
Preferred skills
Oracle APEX, AI/ML
Technologies
Oracle, Python, Apache Airflow, PySpark, Git, Oracle APEX
Responsibilities
Coordinate with Business Analysts to capture and refine requirements; Design and implement PL/SQL packages and data-quality rules; Build scalable data-processing pipelines and ETL workflows; Develop Oracle APEX screens and forms; Create Airflow DAGs and optimize Oracle queries; Maintain code in Git and perform pull-request reviews; Participate in sprint planning and release coordination.
Seniority
Senior, hands-on IC