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Senior Data Engineer

Devsinc · Riyadh

New
Senior 🇬🇧 English
Python SQL Apache Airflow Apache Spark Redis Linux Git Docker AWS Azure GCP PostgreSQL Trino Presto CI/CD

Job description

About the role

Devsinc is looking for a Senior Data Engineer with 4-6 years of professional experience to design, build and maintain scalable data pipelines and processing systems that support analytics, data products and AI/ML capabilities. The engineer works with Product, Business Intelligence, Data Science and Engineering teams to deliver production-ready datasets and high-performance data solutions.

Key responsibilities

  • Design, develop and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation and delivery.
  • Build, schedule and orchestrate production-grade workflows with Apache Airflow; write distributed jobs with Apache Spark.
  • Write efficient, reusable Python code for data processing, automation and pipeline development.
  • Develop and optimize complex SQL queries, and design pipelines for structured, semi-structured and unstructured data.
  • Implement Redis for caching and high-performance data access, and integrate data from APIs, databases, files and third-party sources.
  • Set up data validation, monitoring, logging, error handling, alerting and pipeline observability.
  • Optimize performance, storage, processing time and infrastructure costs, and build reusable frameworks instead of one-off scripts.
  • Troubleshoot failures, bottlenecks and data-quality issues, and establish engineering standards and documentation.

Required profile

  • Bachelor's degree in Computer Science, Software Engineering, Data Science or a related field.
  • 4-6 years of professional experience in Data Engineering or a closely related role.
  • Strong hands-on experience with production-grade ETL/ELT pipelines and large datasets.
  • Preferred: cloud platforms (AWS, Azure, GCP), PostgreSQL or data warehouses, geospatial data, CI/CD and infrastructure-as-code, and experience supporting data products or AI/ML pipelines.

Required skills

  • Python and advanced SQL
  • Apache Airflow and Apache Spark
  • Redis, caching strategies and data modelling
  • Familiarity with Linux, Git and Docker/containers

Questions fréquentes

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Source : ats:workable

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Published 2 days ago

Expires 1 month from now

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Devsinc

Riyadh