Senior Lead Data Engineer - Nairobi County

Only for registered members Nairobi County, Kenya

3 weeks ago

Default job background
KSh200,000 - KSh400,000 (KES) per year *
* This salary range is an estimation made by beBee

Job summary

Design and develop pipelines using Python, PySpark, and SQL. Utilize S3 buckets for storing large volumes of raw and processed data. Implement and manage complex data workflows using Apache Airflow (MWAA) to orchestrate tasks.

Responsibilities

  • Design and develop pipelines using Python, PySpark, and SQL
  • Use GitLab as the versioning control system
  • Utilize S3 buckets for storing large volumes of raw and processed data
  • Implement and manage complex data workflows using Apache Airflow (MWAA) to orchestrate tasks
  • Utilize Apache Iceberg (or similar) for managing and organizing data in the data lake
  • Create and maintain data catalogs using AWS Glue Catalog to organize metadata
  • AWS Athena for interactive querying
  • Familiarize with data modeling techniques to support analytics and reporting requirements, as well as knowledge of the data journey stages within a data lake (Medallion Architecture)

Qualifications

  • Ideally, a degree in Information Technology, Computer Science, or a related field
  • Ideally, +5 years of experience within the Data Engineering landscape
  • Strong expertise in Python, PySpark, SQL, and the overall AWS data ecosystem
  • Strong problem-solving and analytical skills
  • Ability to explain technical concepts to non-technical users
  • Proficiency to work with GitHub
  • Terraform and CICD pipelines are a great 'nice-to-have'

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