PySpark Data Engineer – Python, ETL & Data Warehousing
Bengaluru - GTP, India
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Build data marts
- Collaborate with stakeholders on requirements
- Debug PySpark code
- Deploy data pipelines to production
- Design data pipelines
- Develop ETL pipelines
- Develop SQL and Oracle queries
- Develop data warehousing solutions
- Improve pipeline performance and reliability
- Integrate data from multiple sources
- Maintain technical documentation
- Monitor pipeline failures and data quality issues
- Perform UAT defect resolution
- Perform data cleansing and transformation
- Support post production data pipeline operations
- Validate and reconcile data outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | CI/CD | Data Cleansing | Data Governance | Data Imputation | Data Lineage | Data Marts | Data Modeling | Data Quality | Data Validation | Data Warehousing | Data integration | ETL | Feature Engineering | Git | Hadoop | Hive | JUnit | Jenkins | Jupyter | MapReduce | Metadata Management | NoSQL | Oozie | Oracle | Pandas | PySpark | Python | SQL | Shell Scripting
Education
N/A
Roles
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