Senior Data Engineer

At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:
ELSE Global Sustainability Business Proc

Your role and responsibilities:

In this role, you will lead and support enterprise-level data engineering initiatives across the Business Analytics division. You will be responsible for designing, developing, optimizing, and maintaining scalable data platforms, pipelines, and analytical datasets primarily within the Microsoft Azure and Snowflake ecosystem. You will work closely with analytics teams, business stakeholders, and cross-functional IT teams to ensure reliable, secure, and high-quality data delivery for reporting, analytics, automation, and business intelligence solutions.

The ideal candidate should possess strong expertise in modern data engineering concepts, cloud-based data warehousing, ETL/ELT development, data modeling, and large-scale data transformation. The role also requires strong collaboration skills, ownership, and the ability to support evolving analytics and reporting demands across the organization.

The work model for the role is: Hybrid

This role is contributing to the Electrification Business in Service divisionin Bangalore , India.

You will be mainly accountable for:

• Designing and developing end-to-end scalable ETL/ELT pipelines using Snowflake (Snowpipe, Streams, Tasks, Stored Procedures), Azure Data Factory, SQL, and related Azure services to ingest, transform, and deliver robust data models and analytics-ready datasets across data layers.
• Managing end-to-end data engineering processes including data ingestion, transformation, cleansing, validation, and integration from multiple source systems with strong data quality and governance standards.
• Supporting the complete data engineering lifecycle including development, testing, deployment, monitoring, troubleshooting, and performance optimization of production pipelines and platforms.
• Managing analytics-ready data across bronze, silver, and gold layers, supporting multiple consumption patterns including Power BI semantic models, Dataverse, direct BI integrations, and data exports with performance tuning and governance.
• Monitoring and optimizing Snowflake and Azure platform performance, storage, compute utilization, and query efficiency.
• Collaborating with business & leadership teams and stakeholders to translate requirements into scalable technical solutions and supporting automation initiatives using Power Platform, APIs, and Azure services.
• Contributing to DevOps, CI/CD, incident resolution, root cause analysis, and maintaining technical documentation for data architecture, pipelines, and operational processes.

Qualifications for the role:

• Bachelor's or master's degree in computer science, Information Technology, Data Analytics, Engineering, or a related field with minimum 5+ years of hands-on experience in Data Engineering, Data Warehousing, or Analytics Engineering roles.
• Strong expertise in SQL, advanced data transformation, and hands-on experience building scalable ETL/ELT pipelines using Snowflake (Snowpipe, Snowpark, Streams, Tasks, Copy Commands, Stored Procedures) and Microsoft Azure services (Azure Data Factory, Azure SQL, Azure Data Lake, Synapse Analytics, Azure Functions).
• Strong understanding of data warehousing concepts, dimensional modeling, star schema, data lake architecture, and large-scale dataset handling with performance optimization and data quality management.
• Experience supporting analytics and reporting solutions using Microsoft Power BI, Power Platform, and developing analytics-ready datasets.
• Knowledge of Python, APIs, data integration frameworks, middleware, and automation concepts (Mulesoft, etc.) is preferred; DevOps, CI/CD, and Git-based version control are an advantage.
• Strong communication and collaboration skills across technical and business teams, with the ability to work independently, manage priorities, and deliver high-quality solutions under pressure.
• Strong willingness to learn emerging technologies and continuously improve technical expertise.

More about us :

ABB's Service Division partners with our customers to improve the availability, reliability, predictability and sustainability of electrical products and installations. The Division's extensive service portfolio offers product care, modernization, and advisory services to improve performance, extend equipment lifetime and deliver new levels of operational and sustainable efficiency. We help customers keep resources in use for as long as possible, extracting the maximum value from them, and then recovering and regenerating products and materials at the end of their useful life.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit to learn more about the impact of our solutions across the globe.

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