Data Engineer; PySpark - Leading UAE Bank, Cloudera Data Platform Expert

Overview

Job Title:
Data Engineer (PySpark)

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.

• 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

Education and Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
• 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform

• PySpark:
  Advanced proficiency in PySpark, including working with RDDs, Data Frames, 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

• Strong analytical and problem-solving skills
• Excellent verbal and written communication abilities
• Ability to work independently and collaboratively in a team environment
• Attention to detail and commitment to data quality