Data Engineering & Analytics – Onsite-KSA-Saudi Nation

bTranz Technological Solutions Private Limited; Riyadh; Vor Ort; SAR 180.000 - 240.000; Vollzeit

Zusammenfassung

bTranz Technological Solutions Private Limited in Saudi Arabia seeks an experienced Data Engineer to build scalable data pipelines, warehouses, and analytics platforms supporting enterprise reporting and AI initiatives.

You will design ETL/ELT processes, implement batch and real-time data flows, ensure data quality and security, and collaborate with data scientists and application teams to enable data-driven decisions.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

ETL/ELT

Apache Spark

Airflow

Data Modeling

Snowflake/Databricks

Cloud Platforms

Data Quality Management

Jobbeschreibung

• 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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