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Tier-1 brand, mid-level generalist title, Bangalore location, and broad skillset increases competition.
Core data engineering skills transfer well, though media and subscription domain knowledge raises sensitivity.
Requires 5+ years plus mandatory Scala/Spark/Airflow/SQL skills, making filters strict.
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Own and maintain large-scale data pipelines using Scala, Python, Spark, and Airflow with strict uptime SLAs.
Enhance observability, alerting, and debugging for batch and streaming data pipelines supporting key business metrics.
Collaborate cross-functionally with product managers, architects, and engineers to scale a core data platform for streaming services.
5+ years of data engineering experience developing large data pipelines.
Strong skills in Scala, Python, SQL, Spark, and Airflow in production environments.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent industry experience.
Basic understanding of AWS or other cloud providers (e.g., S3).
Experienced in building and operating critical data pipelines at scale with a focus on uptime and data quality.
Comfortable working with both batch and streaming data processing and orchestration tools in a cloud environment.
Capable of collaborating with multiple stakeholders to prioritize platform reliability, observability, and feature enhancements.