Description

You will design, build, and maintain data solutions for analytics and integration.

Responsibilities

• Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric.
• Implement incremental and real-time data ingestion strategies using a 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, ensuring 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.
• Experience working on Agile teams (Scrum, XP, or similar).
• Comfort operating in collaborative environments with frequent communication across engineering and product teams.
• Strong ownership mindset regarding solution quality and reliability.
• Familiarity with SQL Server and SSIS environments.
• Experience with CI/CD practices.

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