Sr Engineer - Data
DTS (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable, resilient batch and streaming data pipelines using Python, SQL, and distributed frameworks.
- Build and administer data solutions on cloud platforms (Google Cloud Platform and AWS) including BigQuery, Cloud Storage, Dataflow, S3, Redshift, and Glue.
- Develop transformation layers using dbt, optimize Apache Spark jobs, manage orchestration with Apache Airflow and CI/CD pipelines, and enforce data quality governance.
Minimum Requirements
- 4 to 6 years of hands-on experience in data engineering.
- Experience with Python, SQL, Apache Spark (PySpark/Scala), and distributed frameworks.
- Proficiency in cloud platforms GCP and AWS, including relevant services like BigQuery, Redshift, Dataflow, S3, Glue.
- Experience in workflow orchestration tools like Apache Airflow, CI/CD pipelines, and version control (Git).
Ideal Candidate Profile
- Experienced with building and operating scalable cloud data infrastructure in enterprise or big-data environments.
- Skilled in end-to-end data pipeline ownership from ingestion through processing to modeling and serving.
- Strong operational focus on data quality governance and automation of data workflows to support analytics teams.