Data Engineering & Analytics

bTranz Technological Solutions Private Limited; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

bTranz Technological Solutions Private Limited in Saudi Arabia is seeking an experienced Data Engineer to design, build and maintain scalable data pipelines, data integration solutions and analytics platforms that support enterprise reporting, advanced analytics and AI initiatives.

You will design ETL/ELT workflows, build data warehouses and lakes, implement batch and real-time processing, ensure data quality, security and reliability, and collaborate with data scientists and application teams

Qualifications

• Experience designing and maintaining scalable data pipelines and warehouses.
• Strong SQL, Python and ETL/ELT development fundamentals.
• Hands-on with cloud data platforms (AWS, Azure, GCP) and data quality management.

Responsibilities

• Design, develop and optimize ETL/ELT pipelines and data workflows.
• Build and maintain data warehouses and data lakes.
• Implement batch and real-time data processing solutions.
• Ensure data quality, consistency, security and reliability.
• Optimize data models and SQL queries and pipeline performance.
• Collaborate with data scientists, analysts and application teams.

Skills

Python

SQL

ETL ELT

Apache Spark

Airflow

Data Modeling

Snowflake

Databricks

Cloud Data Platforms

AWS

Azure

GCP

Data Quality Management

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.