Python, PySpark India
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Total experience: 5 years
Detailed JD:
Mandatory Skills: Python PySpark
Detailed JD:
- Build Scalable Pipelines: Design implement and maintain end-to-end batch and near real-time ETL/ELT pipelines using Python PySpark and Spark SQL.
- Lakehouse Architecture: Implement and manage highly optimized cloud storage layers using Delta Lake or Apache Iceberg formats.
- Orchestration & Automation: Build complex workflow schedules dependency maps and failure recovery processes using Apache Airflow.
- Performance Tuning: Proactively debug and optimize Spark workloads by resolving data skew implementing caching strategic partitioning Z-Ordering and broadcast joins.
- Streaming Ingestion: Construct robust real-time data ingestion pipelines using messaging systems like Apache Kafka or Cloud Pub/Sub.
- Data Governance & Integrity: Enforce data quality validation automated schema evolution checks and structural reconciliation frameworks.
Mandatory Skills: Python PySpark