Data Engineer (PySpark) - Leading UAE Bank, Cloudera Data Platform Expert

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Job Title : Data Engineer (PySpark)

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Job Title : Data Engineer (PySpark)

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About The Role

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. This role requires a strong background in big data ecosystems, cloud-native tools, and advanced data processing techniques.

The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on the Cloudera Data Platform, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights.

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, 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

Qualifications

Education and Experience

Technical Skills

Soft Skills

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Other

Industries

IT Services and IT Consulting

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