Data Engineering & Analytics

bTranz Technological Solutions Private Limited; Saudi Arabia; On-site; SAR 180,000 - 300,000; 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 and analytics platforms supporting enterprise reporting and AI initiatives.

The role focuses on ETL/ELT design, data warehouses and lakes, batch and real-time processing, ensuring data quality, security and reliability, and collaborating with data scientists, analysts and application teams.

Qualifications

• Experience designing and optimizing ETL/ELT pipelines and data workflows.
• Experience building data warehouses and data lakes.
• Familiarity with batch and real-time data processing.
• Focus on data quality, security, and reliability.
• Optimize data models and 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

Data Modeling

Cloud Data Platforms

Data Quality Management

Tools

Snowflake

Databricks

Airflow

AWS

Azure

GCP

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.