Azure Data engineer

Princeton Software Services Pvt. Ltd.; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions firm is seeking an Azure Data Engineer to design and maintain scalable data pipelines on Microsoft Azure. Your role involves optimizing ETL processes, ensuring data quality, and collaborating with teams on cloud solutions. The ideal candidate has a Bachelor's degree and 4+ years of experience in Data Engineering with strong Azure skills.

Qualifications

• 4+ years of experience in Data Engineering with Azure cloud services.
• Strong knowledge of Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics.
• Experience with data modeling, metadata management, and performance tuning.

Responsibilities

• Design and develop robust and scalable data pipelines using Azure Data Factory.
• Implement data lake and data warehouse solutions using Azure technologies.
• Collaborate with DevOps for CI/CD pipelines and version control.

Skills

Azure Data Factory

Azure Data Lake

Azure Synapse Analytics

Databricks / Spark

SQL

Python / PySpark

Education

Bachelor's degree in Computer Science or related field

Job description

Overview

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

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

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 practices