Location: Dubai WFO
Notice: Immediate/Serving notice - 30 days only.
Skill: PySpark + Cloudera Data Platform+ Banking Domain
Experience: 5+ years
Role: Data Engineer
- 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, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
- Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
- Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.
- PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
- Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
- Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
- Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
- Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
- Scripting and Automation: Strong scripting skills in Linux.
Note: Looking for immediate to 30 days official Notice period candidates only.
Interested candidates please share your CV to [Confidential Information] with below details:
Total Exp:
Relevant Exp in PySpark:
Relevant Exp in Cloudera:
Relevant Exp in Banking Domain:
Current CTC:
Expected CTC:
Current location:
Preferred location:
Notice period:
Highest Education (fulltime):
