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Data Engineering & Analytics – Onsite-KSA-Saudi Nation

bTranz
Riyadh, KSA
Full-time
Entry
Onsite
Discovered 1 weeks ago
PythonSQLETL/ELTApache SparkAirflowData modeling

Full Job Posting

Role overview

Build and maintain scalable data pipelines, integration solutions, and analytics platforms for enterprise reporting, advanced analytics, and AI initiatives.

The role is described as suitable for an intermediate Data Engineer.

Key responsibilities

  • Design, develop, and optimize ETL/ELT pipelines and data workflows.
  • Build and maintain data warehouses, data lakes, and data processing platforms.
  • Implement batch and real-time data processing solutions.
  • Ensure data quality, consistency, security, and reliability.
  • Optimize data models, SQL queries, and pipeline performance.
  • Collaborate with data scientists, analysts, and application teams.

Required skills

  • Python, SQL, ETL/ELT, Apache Spark, Airflow, and data modeling.
  • Snowflake or Databricks, cloud data platforms (AWS, Azure, or GCP), and data quality management.

Requirements

  • Suitable for an intermediate Data Engineer.
  • Required skills include Python, SQL, ETL/ELT, Apache Spark, Airflow, data modeling, Snowflake or Databricks, cloud data platforms (AWS, Azure, or GCP), and data quality management.

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