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Mid-level Data Engineer role, popular title, and Bengaluru metro increase candidate competition.
Core data engineering skills are broadly transferable across industries despite AdTech focus.
Explicit 5+ years requirement and mandatory Spark/Scala/Airflow/AWS make filters highly strict.
Design, develop, and maintain scalable ETL and data processing pipelines for large-scale batch and streaming datasets.
Build and optimize distributed data applications using Apache Spark and Python/Scala on AWS, focusing on performance, reliability, and cost efficiency.
Collaborate cross-functionally to deliver production-grade, robust data solutions and troubleshoot production issues to improve platform performance.
5+ years of experience in Data Engineering or Big Data Engineering roles.
Strong hands-on experience with Apache Spark and Scala.
Proficient in designing and managing large-scale ETL pipelines and data workflows using Apache Airflow.
Hands-on experience with AWS services, especially Amazon S3 for large-scale data storage.
Experienced in building and optimizing high-volume, distributed data processing platforms with strong performance and reliability focus.
Skilled in both batch and streaming data pipeline environments, familiar with operational complexities and debugging production issues.
Comfortable working in cross-functional teams delivering scalable data engineering solutions on cloud platforms such as AWS.