The Data Engineering Manager will support data operations and ETL workflows, ensuring robust data pipelines and reliable analytics environments. They will work closely with cross-functional teams to maintain data quality, troubleshoot issues, and enable data-driven decision-making across the organization.
Requirements
- 8–12 years of total experience in Data Operations / Data Engineering
- Minimum 2–3 years managing production data environments (Databricks, ETL, or Cloud Data Ops)
- Proven track record of reducing MTTR, increasing job success rates, and improving operational maturity
Benefits
- Shift Timing: 3:00 PM – 12:00 AM IST
- Company-Provided Transport
- Security Escort for Drop-Off
- Shift Allowance
- Food/Meal
- Competitive Salary + Performance Annual Bonus
- Flexible work environment, including hybrid working
- Comprehensive Healthcare Insurance Plans for self, spouse, and children
- Group Term Life Insurance and Group Accident Insurance programs
- Employee Assistance Program
- Broad Variety of learning platforms
- Diversity, Equity, and Inclusion Programs
- Reimbursements – Home Internet & Mobile Phone
- Employee Referral Program
- Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)