Senior Data Engineer
Mindera (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines using AWS Glue, Apache Spark/PySpark, Python, and SQL.
- Build and orchestrate reliable, fault-tolerant data workflows using Apache Airflow and AWS cloud services including Amazon S3.
- Optimize data processing jobs for performance, implement data quality checks, and troubleshoot production pipeline issues independently.
Minimum Requirements
- Strong hands-on experience with Python, SQL, Apache Spark/PySpark, AWS Glue, and Apache Airflow.
- Work experience required: Not explicitly mentioned in the JD.
- Experience with AWS data services including Amazon S3, AWS Glue, IAM, and CloudWatch.
- Ability to independently own end-to-end data engineering projects, including design and troubleshooting in production.
Ideal Candidate Profile
- Experienced senior data engineer capable of making architecture and technology decisions independently.
- Proficient in designing scalable, maintainable data architectures and optimizing high-volume large-scale data processing.
- Able to mentor junior engineers and communicate effectively with technical and non-technical stakeholders.