Data Engineer responsible for developing scalable ETL pipelines for MENA mobility solution provider. Driving data-driven decisions and managing complex integrations in fast-paced environment.
Responsibilities
Design, implement, and maintain ETL/ELT pipelines using AWS and custom scripts.
Ensure robust data syncing between DWH and data sources.
Develop and maintain scrapers of websites and mobile applications.
Set up alerts and monitoring for data anomalies (e.g. missing data, syncing issues).
Implement data quality assurance and validation frameworks.
Improve query and system performance, including optimization of Redshift clusters, table vacuuming, and scheduling batch jobs.
Work closely with DevOps for data flow integration across environments.
Transition legacy ETLs to modern platforms and ensure scheduled exports run reliably.
Eliminate redundant procedures and replace outdated solutions.
Requirements
3+ years of proven experience as a Data Engineer
Excellent programming skills in Python and SQL.
Hands-on experience with AWS (DMS, Redshift, S3, Glue).
Familiarity with data scraping techniques and frameworks.
Strong understanding of data warehousing concepts and performance tuning.
Experience with data migration.
Knowledge of DevOps practices and working in Agile environments.
Ability to work independently and collaboratively in a fast-paced environment.
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