Data Engineer

• Position: Data Engineer
• Experience Required: Minimum 4 to 10 years
• Location: Pune
• Job Type: Contract to hire (6 months)
• Work Mode: 5 Days
• Shifts (Work Timings): 11:30 AM to 8:30 PM IST
• Notice Period: Immediate only
• Mode of Interview: Virtual

Seeking for a Data Operations Engineer to support the operational health of reporting products under RaaS (Reporting-as-a-Service) suite, including Tune-In and Local. This role is focused on troubleshooting, investigating data issues, and maintaining pipeline health across systems like UI Bakery, Astronomer, and Sigma. You’ll help manage bug triage, validate report configurations, and serve as the first line of defense when data issues impact client reporting.

Technical Skills:

Mandatory:

· Experience in Data Operations, Tech Support, or Reporting QA

· Snowflake

· Airflow, DAGs

· Python – Ability to run and debug, fix report generation scripts

· SQL – Strong proficiency in writing, debugging, and interpreting queries

· Strong troubleshooting, documentation, and organizational skills

· Excellent written and verbal communication skills

Preferred/Good to Have Skills:

· Orchestration and Monitoring – Astronomer

· BI and Reporting Tools – Retool, UI Bakery, Sigma

· Cloud Data Warehouses

· QA Concepts – null checking, duplicates, outlier detection, user error detection

· Ad Tech Experience - Familiarity with TV schedules, media measurement, attribution

· Ad Measurement - Familiarity with lift and conversion reports

Roles & Responsibilities:

· Monitor data health and investigate data integrity issues related to Tune-In and Local reports.

· Perform root cause analysis and escalate technical bugs to Reporting, Engineering, Product, or other teams.

· Validate or debug configuration payloads sent from UI Bakery to task orchestration flow (DAGs).

· Troubleshoot DAG execution issues across development, stage, and production environments.

· Contribute to knowledge documentation and updates that capture recurring fixes, runbooks, and best practices.

· Assist during designated on-call periods (as needed on weekends) to manage inbound TV schedules from partners.

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹800,000.00 - ₹3,500,000.00 per year

Schedule:

• Day shift

Work Location: In person