Senior Data Engineer

Novo Nordisk India Pvt Ltd; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Novo Nordisk India Pvt Ltd is seeking a Senior Data Engineer for the Bengaluru GBS hybrid role. You will design and manage scalable data pipelines within the Commercial & Consumer Data Engineering team, partnering with IT, governance and analytics stakeholders to drive data-driven decisions.

The role requires 7+ years in data engineering, strong SQL, Python and Java, and hands-on Snowflake experience, with cloud platform exposure (AWS/Azure/GCP).

Qualifications

• Graduate or postgraduate degree in data-related field, CS or similar.
• 7+ years of experience in data engineering or a comparable role.
• Snowflake experience is an added advantage.
• ETL, data extraction, transformation and reporting in scalable environments.
• Strong data modelling and advanced SQL skills.
• Proficiency in Python and Java for data workflows.
• Experience with cloud platforms such as AWS, Azure or Google Cloud.
• Knowledge of data governance, data quality and data security standards.
• Good listening and communication in English.

Responsibilities

• Design, build and maintain scalable commercial data pipelines and integration solutions.
• Optimise data integration workflows and move data securely across systems.
• Ensure adherence to data governance, quality and security standards.
• Collaborate with data scientists, analysts and architects to provide fit-for-purpose data solutions.
• Monitor and maintain data systems for reliability and performance.
• Research and apply the latest data engineering technologies and best practices.

Skills

ETL

SQL

Python

Java

Data modelling

Snowflake

Cloud platforms

Education

B.Tech/M.Tech/MSc in data-related field

Tools

AWS

Azure

Google Cloud

Job description

Senior Data Engineer

Department: Commercial & Consumer Data Engineering, Enterprise IT & Quality

Location: Novo Nordisk Global Business Services (GBS) Bengaluru, India (hybrid – minimum three days per week in the office)

What you’ll bring

• A graduate or postgraduate degree (B.Tech/M.Tech/MSc) in a data-related field, Computer Science or a similar discipline.
• 7+ years of experience in data engineering or a comparable role. Good work experience in Snowflake is an added advantage.
• Proven expertise in data extraction, transformation and reporting in scalable environments (ETL).
• Strong data modelling skills and advanced SQL for querying and managing large datasets.
• Programming proficiency in Python and Java to build and optimise data workflows.
• Experience with cloud platforms such as AWS, Azure or Google Cloud.
• Data manipulation and processing using AI and machine learning techniques.
• Knowledge of data governance principles, data quality assurance and data security stand-ards.
• Good listening and communication skills in English, a curious and self-starting mindset, and a genuine interest in understanding the business.

Useful, but not essential:

• Familiarity with big data tools such as Hadoop, Spark or Kafka for large-scale and real-time data processing.

What you’ll do

• Design, build and maintain scalable commercial data pipelines and integration solutions, aligned with the target architecture and data strategy, and monitor them to keep data flow-ing with minimal downtime.
• Optimise data integration workflows, harmonising data from various sources and using APIs and other tools to move data securely and consistently across systems.
• Ensure adherence to data governance, quality and security standards by implementing validation checks and protecting sensitive commercial information.
• Collaborate with data scientists, analysts and architects to understand their needs and provide fit-for-purpose data solutions, including support for data models and algorithms that drive insights.
• Monitor and maintain data systems to ensure reliability and performance, and perform preventive maintenance to keep operations running.
• Research and apply the latest data engineering technologies and best practices, and help build a strong capability across data domains through knowledge sharing and collaboration.

Who you'll work with

You will join a data engineering team dedicated to strengthening our commercial and consumer portfolio through modern data platforms and cloud-native solutions. The team works closely with colleagues across solutions, Data and AI foundation, operations, planning and analytics to ensure the right data reaches the right people at the right time. You will operate with a high degree of independence in selecting tools and technologies, while partnering closely with Technical Product Owners, Commercial Domain delivery leads, the Data Governance team, IT QC/QA and Compliance, data scientists, data stewards, data providers and platform partners – locally and globally. You will also represent the department in cross-functional forums, advocating for data engineering best practice and sharing new ideas across a truly global organisation.

What you can expect here

You will work at the forefront of data, AI and machine learning, with the trust to make technical decisions and the space to keep learning. This is a global role where your expertise shapes how data supports decisions across markets, and where curiosity, collaboration and ambition come together to create meaningful progress. You'll be supported to grow your skills and broaden your impact across the value chain.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

Experience Level Senior Level