Senior Data Engineer - PySpark & Python
Bengaluru, Karnataka, India
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Analyze cleanse transform and engineer features
- Build data marts
- Collaborate with technical and business stakeholders
- Debug and optimize PySpark code
- Design develop maintain scalable ETL pipelines
- Develop production ready data engineering solutions
- Ensure data quality, integrity, and consistency
- Implement CI/CD workflows
- Maintain technical documentation and engineering standards
- Optimize SQL queries for performance
- Perform end to end SDLC
- Support testing validation and deployments
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | CI/CD | Data Cleansing | Data Linking | Data Mart | Data Pipeline Monitoring | Data Transformation | Data Validation | Data Warehousing | Data pipeline | ETL | Feature Engineering | Git | Hadoop | Hive | Imputation | Jenkins | Jupyter Notebook | MapReduce | NoSQL | Oozie | Oracle SQL | Pandas | Pipeline monitoring | PySpark | Python | SQL | UAT
Education
N/A
Roles
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