Data Engineer
Core
Design, develop, and maintain ETL applications and data warehousing solutions for banking, insurance, telecom, mining, and manufacturing clients.
Role type
Senior Data Engineer (ETL & Data Warehousing)
Builds
ETL pipelines, database packages, data migration projects, and data lake components.
Domain
Banking, Insurance, Telecom, Mining, Manufacturing
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
ETL design and development, PL/SQL, Informatica, Ab-Initio, Unix Shell Programming, Python, Oracle, Teradata, Data Warehousing, Data Lake concepts, DevOps (Bit Bucket, Bamboo, Jira, Confluence), Data discovery and classification, Data migration, Reporting tools (PowerBI, Tableau, ClikSense, QuickSight)
Preferred skills
Agile/Scrum planning, Story estimation, BRD creation, CICD implementation/automation
Technologies
PL/SQL, Informatica, TOAD, Putty, WinSCP, Ab-Initio, Unix, Shell Programming, Python, Oracle, Teradata, Bit Bucket, Bamboo, Jira, Confluence, PowerBI, Tableau, ClikSense, QuickSight
Responsibilities
Analyze user requirements and translate into database requirements; Prepare technical design and development of database documents; Design complex ETL mappings, logics, and workflows; Build Dev/QA ETL runs and make corrections; Assist in estimation of stories in the backlog; Participate in discussions with clients for requirement understanding and documentation.
Seniority
Senior, hands-on IC