Azure Data (Warehouse) Engineer

Dicetek LLC; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A data consulting firm in the UAE is seeking a Data Engineer with over 5 years of experience, particularly in the banking sector. The ideal candidate will have expertise in Azure data products, ETL processes, and data warehousing concepts. Strong problem-solving skills and knowledge of SQL are required. Preferred certifications include Certified Data Integration Developer and Azure Data Engineering Associate.

Qualifications

• 5+ years of experience in data engineering.
• 3 years of UAE banking experience preferred.
• Strong understanding of data warehousing concepts, ETL processes, and data governance.
• Knowledge of SQL for data manipulation and querying.

Responsibilities

• Develop and maintain ETL processes using Data Integration Studio.
• Create and optimize data workflows to ensure data accuracy and efficiency.
• Collaborate with data architects to design and implement data models.

Skills

Azure

Data Lake

DataFactory

DataBricks

Python/PySpark

SAS DWH

Tools

Data Integration Studio

Job description

Azure, Delta Lake, DataFactory, DataBricks, Python/PySpark SAS DWH

Should have at least 5+ years of experience in data engineering.

Should possess at least 3 years of UAE banking experience.

Candidates with Azure data products and data warehouse experience will be preferred.

Strong understanding of data warehousing concepts, ETL processes, and data governance.

Knowledge of SQL for data manipulation and querying.

Excellent problem-solving and troubleshooting skills.

Certifications (Preferred)

• Certified Data Integration Developer
• Azure Data Engineering Associate

Data Integration

• Develop and maintain ETL (Extract, Transform, Load) processes using Data Integration Studio.
• Create and optimize data workflows to ensure data accuracy and efficiency.

Data Architecture Design

• Collaborate with data architects to design and implement data models, data warehouses, and data lakes.
• Ensure data architecture aligns with business requirements and scalability needs.