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Data Engineer (PySpark)

Synechron Dubai, United Arab Emirates Posted: 08 Nov 2024

Financial

  • Estimate: $60k - $90k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

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 various 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 to optimize resource utilization and reduce 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: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Experience: 5+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.

Technical Skills:

  • Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
  • Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
  • Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
  • Familiarity with Hadoop, Kafka, and other distributed computing tools.
  • Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
  • 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.

Work Conditions: On-site, Full-time
Location: Dubai, United Arab Emirates

Apply now

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About Synechron

Synechron is a leading digital transformation consulting firm focused on the financial services & big tech industries.