Data Operations Engineer

As a Data Engineer with 5-9 years of experience, you will primarily work with Data Ops, Tech Support, and Reporting QA. Your main responsibility will be to monitor data health for Tune-In & Local reports, investigate data integrity issues, and troubleshoot DAG execution across environments. You will also document fixes, runbooks, and best practices, along with providing on-call support for TV schedule partner feeds. Key Responsibilities: - Monitor data health for Tune-In & Local reports - Investigate data integrity issues and escalate bugs - Troubleshoot DAG execution across environments - Document fixes, runbooks, and best practices - Provide on-call support for TV schedule partner feeds Qualifications Required: - Experience in Data Ops, Tech Support, or Reporting QA - Proficiency in Snowflake, Airflow (DAGs), Python, and SQL - Strong troubleshooting, documentation, and organizational skills - Excellent communication skills Additional Company Details: The company values a dynamic, engaging, self-reliant developer who can manage a collaborative and analytical approach. They seek individuals who are self-confident, humble, open to continuous learning, and possess the ability to deal with ambiguity. The role requires a flexible attitude towards work, proactive issue identification, and effective risk communication. Please note that this is a contractual/temporary position for a duration of 6 months, where the work location is in person, and the expected start date is 01/07/2025.,