Data Engineering & Analytics
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Summary
Intermediate-level data engineer building and maintaining scalable ETL/ELT pipelines, data warehouses, data lakes, and batch/real-time processing to support enterprise reporting, analytics, and AI. Core stack: Python, SQL, Spark, Airflow, Snowflake, Databricks, and cloud platforms (AWS, Azure, GCP), based in Saudi Arabia.
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.