Data Engineering & Analytics Onsite
Posted
Summary
Data engineer in Riyadh designing, building, and optimizing ETL/ELT pipelines, data warehouses/lakes, and analytics platforms supporting enterprise reporting, analytics, and AI initiatives. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake, Databricks, and AWS/Azure/GCP cloud data platforms.
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)
- Data Quality Management
Suitable for
Intermediate Data Engineer.
Qualifications
Note: Need Saudi Nationality