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Data Engineer (PySpark) - Leading UAE Bank, Cloudera Data Platform Expert Job Opening In Dubai – Now Hiring Global Software Solutions Group


Job description

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Job Title: Data Engineer (PySpark)
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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.
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
  • 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
Technical Skills
  • 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
Soft Skills
  • 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

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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