Data Platform Engineer

Data Platform Engineer

Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills: Microsoft Azure Analytics Services

Minimum 3 years of experience is required

15 years full time education

As a Microsoft Azure Analytics Engineer, you will be responsible for designing, developing, and optimizing analytics solutions on the Microsoft Azure platform. You will act as a senior contributor within the team, translating business and data requirements into scalable, reliable analytics solutions. Your daily activities will include building and maintaining data pipelines, developing transformation logic, creating curated datasets, and ensuring data quality and performance. You will collaborate closely with cross-functional teams, provide guidance to junior analysts, and contribute to technical decisions that improve solution robustness, reusability, and delivery standards.

Roles & Responsibilities:

• 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.

Professional & Technical Skills:

• Must-Have Skills with Microsoft Azure Analytics as listed below:
• Hands-on experience with Microsoft Azure Analytics services, including:
• Azure Data Factory for data integration and orchestration
• Azure Synapse Analytics (SQL Pools)
• 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.

The candidate should have 4–5 years of experience in data engineering, BI, or analytics roles. This position is based at our Bengaluru, Chennai, Hyderabad office. Minimum 15 years of full-time education (or equivalent). Agile/project-based delivery with close collaboration across teams. Independently handles assigned modules or datasets. Actively contributes to improving coding standards and solution quality. Reliable support during testing and production issues.

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