Data Engineering & Analytics – Onsite-KSA-Saudi Nation
Builds and maintains scalable ETL/ELT data pipelines, data warehouses, data lakes, and analytics platforms supporting enterprise reporting, analytics, and AI initiatives at an onsite role in Riyadh. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake/Databricks, and AWS/Azure/GCP cloud data platforms.
- Compensation
- Not disclosed
- Location
- Riyadh, Saudi Arabia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience as a Data Engineer building scalable data pipelines
- Python
- SQL
- ETL/ELT
- Apache Spark
- Airflow
- Data Modeling
- Snowflake/Databricks
- Cloud Data Platforms (AWS/Azure/GCP)
- Data Quality Management
- 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
- Onsite work in Riyadh, Saudi Arabia (title indicates Saudi nationals)
Full description
- Full-time
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.
Additional Information
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