ASSOCIATE ARCHITECT - Azure

Happiest Minds Technologies; Pune District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Happiest Minds Technologies in Pune is seeking an experienced Data Engineer / Analytics Engineer with hands-on expertise in Azure Data Lake, ADF, Microsoft Fabric, Spark, and Python. The role focuses on building scalable data pipelines, implementing Medallion architecture, and delivering enterprise Power BI dashboards.

You will work with cross-functional teams to ensure data quality and governance while modernizing MSBI solutions and establishing robust CI/CD in Azure DevOps.

Qualifications

• 8+ years of overall data engineering/analytics engineering experience.
• Current hands-on experience with Microsoft Fabric and Power BI in a modern data platform.
• Prior experience with MSBI stack including SQL Server, SSIS, SSAS, and SSRS.

Responsibilities

• Design, develop, and maintain scalable data pipelines using ADLS, ADF, Fabric, and Apache Spark.
• Build and optimize data processing solutions using Python (PySpark preferred).
• Implement Medallion Architecture (Bronze, Silver, Gold) for structured data processing.

Skills

Azure Data Lake Storage

Azure Data Factory

Microsoft Fabric

Apache Spark

PySpark

Python

SQL

Power BI

MSBI stack

Azure DevOps

Data warehousing concepts

Tools

Azure Data Lake Storage

Azure Data Factory

Microsoft Fabric

SSIS

SSAS

SSRS

Job description

Data Engineer / Analytics Engineer (Azure + Fabric + Power BI) ? Job Description

Job Summary

We are seeking a highly skilled Data Engineer / Analytics Engineer with strong experience in Azure Data Lake Services (ADLS), Azure Data Factory (ADF), Microsoft Fabric, Apache Spark, and Python. The ideal candidate will have current hands‑on experience in Microsoft Fabric and Power BI, along with a solid foundation in traditional Microsoft BI (MSBI) technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Lake (ADLS), Azure Data Factory (ADF), Microsoft Fabric, and Apache Spark
• Build and optimize data processing solutions using Python (PySpark preferred)
• Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing
• Develop restartable, fault‑tolerant pipelines with robust audit and logging frameworks
• Develop and manage source control and CI/CD pipelines in Azure DevOps (ADO)
• Write and optimize complex SQL queries, stored procedures, and data transformations
• Design and manage shared and certified Power BI datasets for enterprise reporting
• Design and deliver interactive and performant Power BI dashboards and reports
• Implement data modeling techniques (star schema, snowflake schema)
• Ensure data quality, governance, and security
• Collaborate with cross‑functional teams
• Troubleshoot performance issues
• Support, maintain, and enhance legacy MSBI solutions using SQL Server, SSIS, SSAS, and SSRS
• Design and develop ETL workflows using SSIS and manage data models in SSAS
• Develop and maintain enterprise reports using SSRS
• Participate in modernization and migration of MSBI solutions to Microsoft Fabric architecture

Required Skills & Qualifications

• Azure Data Lake Storage (ADLS)
• Azure Data Factory (ADF)
• Microsoft Fabric
• Apache Spark / PySpark
• Python for data engineering
• Azure DevOps (ADO) ? source control & CI/CD pipelines
• Advanced SQL (complex queries, performance tuning, ETL logic)
• Power BI (shared datasets, DAX, modeling, visualization)
• Strong experience with Microsoft BI (MSBI) stack including SQL Server, SSIS, SSAS, and SSRS
• Experience developing ETL pipelines using SSIS, data models using SSAS, and reports using SSRS
• Data warehousing concepts and Medallion architecture

Experience

8+ years of overall experience in data engineering / analytics engineering

Current hands‑on experience with Microsoft Fabric and Power BI in a modern data platform

Prior experience with Microsoft BI (MSBI) stack including SQL Server, SSIS, SSAS, and SSRS

Preferred Skills

• Exposure to Lakehouse architecture / Delta Lake
• Knowledge of data governance and cataloging tools
• Experience with real‑time or streaming data processing

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to work in a fast‑paced, agile environment
• Effective communication and stakeholder management skills