Data Platform Engineer

Overview

As a Microsoft Azure Analytics Engineer, you will design, develop, and optimize analytics solutions on the Microsoft Azure platform, translating business and data requirements into scalable, reliable analytics solutions and acting as a senior contributor within the team.

What you'll do

• Act as a Senior Analyst and subject matter contributor for Azure-based analytics solutions.
• Analyze business and data requirements and translate them into technical designs aligned with Azure analytics best practices.
• Design and develop data ingestion pipelines using Azure Data Factory and supported connectors.
• Build and manage data storage and analytics layers using Azure Data Lake Storage and Azure Synapse Analytics.
• Develop and optimize data transformations using SQL, PySpark, and Spark-based processing.
• Implement structured data modeling and layering standards for curated and consumption-ready datasets.
• Support Power BI dataset development including measures, relationships, refresh strategies, and basic performance tuning.
• Perform data validation and reconciliation to ensure data accuracy, completeness, and consistency.
• Collaborate with architects and leads on design decisions and solution improvements.
• Troubleshoot and resolve data pipeline failures, data issues, and performance bottlenecks.
• Participate in code reviews, documentation, and knowledge-sharing sessions.
• Support production deployments, enhancements, and ongoing operational activities.

What you'll need

• Minimum 3 years of experience is required.
• Must have skills: Microsoft Azure Analytics Services.
• Hands-on experience with Microsoft Azure Analytics services, including Azure Data Factory for data integration and orchestration.
• Hands-on experience with Microsoft Azure Analytics services, including Azure Synapse Analytics (SQL Pools).
• Hands-on experience with Microsoft Azure Analytics services, including Azure Data Lake Storage Gen2.
• Working knowledge of PySpark or Spark SQL for data processing.
• Understanding of data warehousing concepts (fact/dimension tables, SCDs).
• Experience with Power BI datasets and semantic models.
• Familiarity with data ingestion patterns (full loads, incremental loads).
• Ability to debug and resolve data pipeline and transformation issues.
• Basic understanding of Git-based version control and deployment practices.
• Strong proficiency in SQL for querying, transformations, and analytical data modeling.
• Educational qualification: 15 years full time education.
• The candidate should have 4–5 years of experience in data engineering, BI, or analytics roles.

Details

• Location: Bengaluru, Chennai, Hyderabad office.
• Agile/project-based delivery with close collaboration across teams.
• Independently handles assigned modules or datasets.
• Reliable support during testing and production issues.