Data Engineering & Analytics – Saudi Arabia (KSA) | Onsite

bTranz Technological Solutions Private Limited; Riyadh; On-site; SAR 120,000 - 240,000; Full time

Job summary

bTranz Technological Solutions Private Limited is seeking an experienced Data Engineer to build and maintain scalable data pipelines, data integration solutions, and analytics platforms supporting enterprise reporting, analytics, and AI initiatives.

You will design and optimize ETL/ELT pipelines, data warehouses, and processing platforms, ensure data quality and security, and collaborate with data scientists and application teams to drive data-driven decisions across the organization.

Qualifications

• 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.

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.

Skills

Python

SQL

ETL/ELT

Apache Spark

Airflow

Data Modeling

Cloud Data Platforms (AWS/Azure/GCP)

Data Quality Management

Tools

Snowflake

Databricks

Apache Spark

Apache Airflow

AWS

Azure

GCP

Job 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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