Description

Key Skills: Data Engineer, ETL

Roles and Responsibilities:

• Build and support data integration and ETL workflows for operational reporting and downstream consumption
• Investigate data refresh failures, reconcile data issues, and perform root-cause analysis on pipeline incidents
• Write and optimize SQL and Python logic for data validation, troubleshooting, and operational analysis
• Support cloud-based data processing and coordinate with teams on data availability and issue resolution
• Work in an SLA-driven environment to manage priorities, resolve data defects, and maintain reporting continuity

Skills Required:

• 3 to 6 years of relevant experience in data engineering or data operations
• Strong hands-on experience in SQL and Python for data analysis, troubleshooting, and operational support
• Solid experience with ETL and data integration workflows in production environments
• Experience with AWS or Azure cloud platforms supporting data engineering workloads
• Ability to support data refresh monitoring, investigation, and issue resolution in a structured operational setup

Good to Have:

• Pharma domain experience

Education: Bachelor's degree in a relevant discipline

Key Skills

Education

Any Graduate