Senior Data Engineer - AdTech
Proximity Works (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.