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High: metro Bangalore, popular mid-level Data Engineer title, and broad, common data engineering skill requirements.
Medium: core data engineering skills transfer, but AdTech/ACR domain experience is advantageous.
Medium: mandatory 2+ years plus preferred Spark, Databricks and Airflow skills increase filters.
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Design, build, and scale terabyte-level data pipelines for core advertising and ACR systems, directly impacting company revenue.
Own and maintain multiple complex data pipelines and platform projects, ensuring data governance, quality, and compliance.
Develop internal platform tooling and collaborate globally, particularly overlapping with US time zones (8 AM - 11 AM MST).
Bachelor's Degree in Computer Science, Engineering, or related technical field.
2+ years of professional software development experience, preferably in Backend or Data Engineering.
Strong proficiency in Data Structures, Algorithms, Operating Systems, Computer Networks, and DBMS.
Work experience in multi-time zone collaboration; overlap with US core hours required (8 AM - 11 AM MST).
Experienced in building and scaling complex ETL pipelines and distributed data processing at terabyte scale.
Proficient with Big Data frameworks (Apache Spark, Databricks) and infrastructure orchestration tools (Apache Airflow).
Able to take ownership of complex systems end-to-end, define technical scope independently, and communicate clearly to cross-functional global teams.