Data Engineering & Analytics – Saudi Arabia (KSA) | Onsite

Job Description We are looking for an experienced Data Engineer to build and maintain scalable data pipelines, data integration solutions, and analytics platforms that support enterprise reporting, advanced analytics, and AI initiatives. 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, Data Modeling, Snowflake/Databricks, Cloud Data Platforms (AWS/Azure/GCP), and Data Quality Management. Suitable for: Intermediate Data Engineer. Additional Information #Hiring #DataEngineer #DataEngineering #TechJobs #ITJobs #JobOpening #HiringNow #DataJobs #Python #SQL #ETL #ELT #ApacheSpark #PySpark #ApacheAirflow #Snowflake #Databricks #DataWarehouse #DataLake #DataModeling #BigData #CloudComputing #AWS #Azure #GCP #DataPipelines #DataQuality #Analytics #AI #ExperiencedHiring #KSA#Saudi Show more Show less

Intermediate Data Engineer with experience building and maintaining scalable data pipelines, data integration solutions, and analytics platforms. Strong skills in Python, SQL, ETL/ELT, Apache Spark, Airflow, data modeling, Snowflake/Databricks, and Cloud Data Platforms (AWS/Azure/GCP). Focus on data quality, security, and reliability.

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.