Senior Data Engineer
Mindera (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable ETL/ELT data pipelines using AWS Glue, PySpark, Python, and SQL.
- Build, maintain, and troubleshoot distributed data processing applications and workflows using Apache Spark and Apache Airflow.
- Own data engineering projects end-to-end including architecture decisions, performance optimization, and ensuring data quality and reliability.
Minimum Requirements
- Strong experience in Python programming and writing production-quality code.
- Proven hands-on experience with Apache Spark/PySpark and AWS Glue ETL jobs.
- Experience designing and developing workflows using Apache Airflow.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building cloud-based data solutions using AWS services including Amazon S3, Glue, IAM, and CloudWatch.
- Capable of independently owning complex data engineering projects and making architecture and technology decisions.
- Comfortable working with large-scale structured and semi-structured datasets and optimizing data pipelines for performance and scalability.