Data Engineer DataOps & Support Evnek
Evnek
Office Location
Full Time
Experience: 6 - 6 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Technical Support, Snowflake, Python, SQL, Troubleshooting, Documentation, written communication, Verbal communication, DataOps, Reporting QA, Apache Airflow, Organizational capabilities
About Evnek
Job Description
Job Title: Data Engineer DataOps & Support Experience: 59 Years Location: Pune Shift: 11:30 AM 8:30 PM IST Notice Period: Immediate Joiner Only Role Overview: We are looking for a Data Engineer with a strong background in DataOps, Tech Support, and Reporting QA to join our dynamic engineering team. This role demands a combination of strong technical troubleshooting skills, an analytical mindset, and a proactive attitude towards solving data integrity issues across enterprise-scale data systems. The ideal candidate will be responsible for ensuring the health, reliability, and accuracy 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. 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,