Data Engineering & Analytics – Onsite-KSA-Saudi Nation
At a Glance
- Category
- 💻 Technology
- Level
- Mid-Level
- Type
- 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.
Suitable for: Intermediate Data Engineer.
Qualifications
Note: Need Saudi Nationality
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
Requirements
- •Experience in building and maintaining scalable data pipelines
- •Proficiency in Python and SQL
- •Experience with ETL/ELT workflows
- •Knowledge of Apache Spark and Airflow
- •Data Modeling expertise
- •Experience with Snowflake/Databricks
- •Cloud Data Platform experience (AWS/Azure/GCP)
- •Data Quality Management skills
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
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