ASSOCIATE ARCHITECT - Azure

Happiest Minds Technologies; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru is seeking a Data Engineer / Analytics Engineer with hands-on experience in ADLS, ADF, Microsoft Fabric and Power BI. You will design scalable data pipelines, implement Medallion architecture, optimize SQL/SSIS/SSAS/SSRS workloads, and collaborate across teams in a modern data platform.

Experience with PySpark, Spark, Python, and Azure DevOps is preferred. The role includes building governance, data models, dashboards, and enterprise reporting for

Qualifications

• Experience with ADLS/ADF and Fabric in a modern data platform.
• Hands-on PySpark, Spark, and Python for data engineering.
• Strong SQL skills with ETL logic and performance tuning.
• Experience with Power BI data models, datasets, and dashboards.
• Familiarity with Medallion architecture (Bronze/Silver/Gold).
• Proficiency in data governance, security, and auditability.

Responsibilities

• Design, develop, and maintain scalable data pipelines using ADLS, ADF, Fabric, Spark.
• Build and optimize data processing solutions using Python (PySpark).
• Implement Medallion Architecture for structured data processing.
• Develop restartable, fault-tolerant pipelines with robust logging.
• Manage CI/CD pipelines in Azure DevOps and write efficient SQL/Data transformations.
• Create and optimize Power BI datasets and dashboards for enterprise reporting.
• Collaborate with cross-functional teams and troubleshoot performance issues.
• Maintain legacy MSBI solutions (SQL Server, SSIS, SSAS, SSRS) and support modernization to Fabric.

Skills

Azure Data Lake Storage

Azure Data Factory

Microsoft Fabric

Apache Spark / PySpark

Python for data engineering

Azure DevOps (ADO)

Advanced SQL

Power BI

MSBI stack (SQL Server, SSIS, SSAS, SS

Data warehousing concepts

Medallion architecture

Tools

SSIS

SSAS

SSRS

SQL Server

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