Azure Data engineer

Princeton Software Services Pvt. Ltd.; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech solutions provider is seeking an experienced Azure Data Engineer to design and maintain scalable data solutions on Microsoft Azure. This role requires strong expertise in Azure cloud services and 4+ years of Data Engineering experience, particularly in the banking domain. Collaborate with stakeholders to ensure effective data handling and security.

Qualifikationen

• 4+ years of experience in Data Engineering with hands-on Azure services.

Aufgaben

• Design and develop data pipelines using Azure Data Factory.
• Optimize ETL/ELT processes.
• Implement data lake and data warehouse solutions.
• Ensure data quality and security.

Kenntnisse

Azure Data Factory

Azure Data Lake

Azure Synapse Analytics

Databricks / Spark

SQL

Python / PySpark

Data modeling

Metadata management

Performance tuning

Azure DevOps

Git

Ausbildung

Bachelor's degree in Computer Science or Information Systems

Jobbeschreibung

We are looking for a skilled Azure Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions on Microsoft Azure. You will work closely with data analysts, scientists, and business stakeholders to ensure efficient data processing, storage, and access.

Looking For Banking Domain Sector

Key Responsibilities:

· Design and develop robust and scalable data pipelines using Azure Data Factory, Databricks, and Azure Synapse Analytics

· Develop and optimize ETL/ELT processes

· Implement data lake and data warehouse solutions using Azure Data Lake Storage, SQL Server, and Synapse

· Work with structured and unstructured data from various sources (e.g., APIs, databases, files)

· Ensure data quality, integrity, and security

· Collaborate with DevOps for CI/CD pipelines and version control using Azure DevOps / Git

· Participate in requirements gathering, solution design, and architecture discussions

Required Skills & Qualifications:

· Bachelor's degree in Computer Science, Information Systems, or a related field

· 4+ years of experience in Data Engineering with hands-on experience in Azure cloud services

· Strong knowledge of:

· Azure Data Factory

· Azure Data Lake (Gen1/Gen2)

· Azure Synapse Analytics

· Databricks / Spark

· SQL

· Python / PySpark

· Experience with data modeling, metadata management, and performance tuning

· Familiarity with Azure DevOps, Git, and CI/CD practice