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We are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization.

Responsibilities :

- Data Pipeline Development : Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy.
- Data Ingestion : Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.
- Data Transformation and Processing : Use PySpark to process, cleanse,



and transform large datasets into meaningful formats that support analytical needs and business requirements.
- Performance Optimization : Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
- Data Quality and Validation : Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
- Automation and Orchestration : Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
- Monitoring and Maintenance : Monitor pipeline performance, troubleshoot issues.

📌 Clover Infotech - Pyspark Data Engineer - ETL/Data Warehousing (India)
🏢 Clover Infotech
📍 India