Description

You will design, build, and maintain cloud-native data solutions for analytics and enterprise integration.

This role is hybrid.

Responsibilities

• Design and maintain data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric.
• Implement incremental and real-time data ingestion strategies using medallion architecture.
• Write, optimize, and maintain complex SQL queries to transform and integrate data across enterprise systems.
• Troubleshoot legacy data platforms built on SSIS and SQL Server to ensure high availability.
• Contribute to observability, automated validation, and CI/CD pipelines for safe releases.

Required Skills

• 5+ years of experience designing and building data solutions.
• Strong proficiency in SQL and Python for data analytics and transformation.
• Hands-on experience with ETL pipeline development and automation.
• Solid understanding of data lake architecture and design principles.
• Familiarity with SQL Server and SSIS environments.
• Experience with CI/CD practices and automated validation.
• Experience working on Agile teams (Scrum, XP, or similar).

Preferred Skills

• Experience with Azure cloud services.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Exposure to NoSQL databases such as MongoDB.

Key Skills

Education

Any Gradute