Data Engineer DataOps & Support

We are looking for a Data Engineer with a strongbackground in DataOps, Tech Support, and Reporting QA to join ourdynamic engineering team. This role demands a combination of strong technicaltroubleshooting skills, an analytical mindset, and a proactive attitude towardssolving data integrity issues across enterprise-scale data systems. The idealcandidate will be responsible for ensuring the health, reliability, andaccuracy of data workflows critical to business operations.

Key Responsibilities:

• Data Health Monitoring: Proactively monitor data pipelines for Tune-In & Local reports and ensure ongoing reliability.
  
• Issue Investigation: Analyze and debug data integrity issues; escalate bugs when necessary.
  
• Pipeline Validation: Validate and troubleshoot configuration payloads from UI Bakery to Airflow DAGs .
  
• Airflow Support: Troubleshoot DAG execution failures across different environments and ensure continuity.
  
• Documentation: Create and maintain detailed documentation including fixes, runbooks, and best practices .
  
• Support & Coordination: Provide on-call support (as required) for TV schedule partner feeds and resolve time-sensitive issues.
  
• Collaboration: Work with cross-functional teams and contribute both independently and collaboratively.
  
• Continuous Improvement: Suggest improvements to data processes and proactively identify potential risks and bottlenecks.

Mandatory Skills:

Strong experience in :

• DataOps , Technical Support , or Reporting QA
  
• Snowflake , Apache Airflow (DAGs)
  
• Python (script debugging, reporting tasks)
  
• SQL (advanced proficiency)
  
• Strong troubleshooting , documentation , and organizational capabilities
  
• Excellent written and verbal communication skills

Preferred / Good-to-Have Skills:

• Experience with tools like Astronomer , Retool , UI Bakery , Sigma
  
• Familiarity with cloud data warehouses
  
• Understanding of QA concepts : null checks, duplicate detection, outlier/user error handling
  
• Domain knowledge in Ad Tech , including TV schedules , attribution models , and conversion/lift reporting