Senior Azure Data Engineer: ADF & Databricks (7-10 yrs) UAE

idctechnologies

United Arab Emirates

On-site

AED 240,000 - 360,000

Full time

3 days ago
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Job summary

idctechnologies seeks an experienced Azure Data Engineer in the UAE to design, develop, and maintain scalable cloud data pipelines using Microsoft Azure technologies. The role emphasizes data ingestion, ETL processes, and data transformation with Azure Data Factory and Databricks.

The ideal candidate will have 7–10 years of data engineering experience, strong SQL and Python skills, and banking domain exposure.

Qualifications

  • 7–10 years of relevant data engineering experience.
  • Strong experience with Azure Data Factory and Azure Databricks.
  • Proficient in SQL and Python.
  • Experience with ETL, data ingestion, and data transformation.
  • Banking domain experience preferred.
  • Based in the UAE.

Responsibilities

  • Design, develop, and maintain scalable data pipelines on Azure.
  • Develop ETL and data ingestion processes using Azure Data Factory.
  • Build and manage data engineering solutions using Azure Databricks.
  • Perform data transformation and processing using SQL and Python.
  • Optimize data pipelines for performance, reliability, and scalability.
  • Troubleshoot data pipeline and cloud data engineering issues.
  • Support data integration and ingestion from multiple sources.
  • Maintain data quality and consistency across data pipelines.
  • Use Git and code repositories for version control and collaborative development.
  • Monitor and improve cloud data engineering workflows.
  • Collaborate with data, technology, and business teams to deliver data solutions.

Skills

Azure Data Factory
Azure Databricks
SQL
Python
ETL
Data ingestion
Data transformation
Git
Cloud data engineering concepts
Banking domain experience
Analytical skills
Communication skills

Tools

Git

Job description

idctechnologies seeks an experienced Azure Data Engineer in the UAE to design, develop, and maintain scalable cloud data pipelines using Microsoft Azure technologies. The role emphasizes data ingestion, ETL processes, and data transformation with Azure Data Factory and Databricks.

The ideal candidate will have 7–10 years of data engineering experience, strong SQL and Python skills, and banking domain exposure.

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