Specialist - Data Engineer Azure Databricks

Danfoss; Chennai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Danfoss in Chennai seeks a Senior Data Engineer to design, build, and govern scalable data solutions across Databricks, SAP, and cloud platforms. You’ll translate business needs into robust data models and pipelines, delivering reliable analytics for stakeholders.

You will work on data pipeline development, ensure data quality, and apply DevOps/DataOps practices while collaborating with global teams to modernize the data landscape.

Qualifications

• Strong hands-on experience with data engineering and analytics solutions using Databricks, SAP, Power BI, and Google Analytics.
• Proven expertise with cloud data platforms such as Azure, AWS, or GCP.
• Deep understanding of data modeling, pipeline design, and transformation logic in modern data environments.
• Experience applying DevOps/DataOps principles and CI/CD practices for data solutions.
• Clear communication skills and the ability to work effectively with cross-functional, global teams.

Responsibilities

• Design and build scalable data solutions across Databricks, SAP, and cloud platforms to support enterprise analytics and reporting needs.
• Translate business requirements into data models and pipelines that deliver reliable, actionable insights for stakeholders.
• Develop and optimize data pipelines and transformations to ensure high data quality, performance, and usability.
• Define and apply data engineering standards and reference architectures that promote reuse, security, and consistency.
• Collaborate with global teams to deliver analytics solutions, share best practices, and continuously modernize the data landscape.

Skills

Data modeling

Pipeline design

CI/CD for data

Communication

Tools

Databricks

SAP

Power BI

Google Analytics

Azure

AWS

GCP

Job description

Job Description:

The Impact You'll Make

As a Senior Data Engineer based in Chennai, you will play a pivotal role in shaping how data is designed, built, and used across Danfoss. Your work will enable reliable, scalable analytics that help teams make smarter, faster, and more confident decisions.

You will sit at the heart of our data ecosystem - connecting business needs with robust data foundations across Databricks, SAP, cloud platforms, and BI solutions. By combining architectural thinking with hands-on delivery, you will ensure our data products are future-ready, trusted, and easy to use.

This role offers you the opportunity to influence enterprise-level data practices while staying close to real-world problem solving, innovation, and continuous improvement.

What You'll Be Doing

• Design and build scalable data solutions across Databricks, SAP, and cloud platforms to support enterprise analytics and reporting needs.
• Translate business requirements into data models and pipelines that deliver reliable, actionable insights for stakeholders.
• Develop and optimize data pipelines and transformations to ensure high data quality, performance, and usability.
• Define and apply data engineering standards and reference architectures that promote reuse, security, and consistency.
• Collaborate with global teams to deliver analytics solutions, share best practices, and continuously modernize the data landscape.

What We're Looking For

• Strong hands-on experience with data engineering and analytics solutions using Databricks, SAP, Power BI, and Google Analytics.
• Proven expertise with cloud data platforms such as Azure, AWS, or GCP.
• Deep understanding of data modeling, pipeline design, and transformation logic in modern data environments.
• Experience applying DevOps/DataOps principles and CI/CD practices for data solutions.
• Clear communication skills and the ability to work effectively with cross-functional, global teams.

What You'll Get From Us

At Danfoss, you'll be part of a collaborative and inclusive environment where data, technology, and purpose come together. You'll work with modern platforms, solve meaningful business problems, and have the freedom to influence how data engineering evolves across the organization.

We support your growth through continuous learning, exposure to enterprise-scale challenges, and opportunities to expand your technical and architectural impact. Your contributions will help build a more data-driven, efficient, and sustainable future.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.