Senior Data Engineer – Data & AI Platforms

IN10 (FCRS = IN010) Novartis Healthcare Private Limited; Hyderabad; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

Novartis Healthcare Private Limited in Hyderabad, India, seeks a Senior Data Engineer – Data & AI Platforms to design and scale enterprise data platforms for analytics, AI, and business insights. You will work with cloud technologies, Snowflake, Python, Spark, and governance to deliver reusable data products.

The role focuses on AI feature engineering, reliable pipelines, and collaboration with product owners and platform teams to raise engineering standards and security.

Qualifications

• 7+ years building modern data solutions with Snowflake, SQL, Python and Spark.
• Hands-on experience with AWS services including Glue, S3, Lambda and Step Functions.
• Experience with data governance, metadata, lineage and security controls.

Responsibilities

• Design and optimize scalable data pipelines using AWS, Snowflake, Python and Spark.
• Develop batch and streaming data processing for enterprise data products.
• Deliver high-performance data platforms for analytics and AI.
• Implement data quality, metadata, lineage and governance features.
• Support AI/ML initiatives through feature engineering and data pipelines.
• Collaborate with product owners, architects and platform teams.

Skills

Snowflake

Python

Apache Spark

AWS

Job description

Job Description Summary #LI-Hybrid Location: Hyderabad, India Number of Openings: 4 Relocation Support: Yes Imagine building the data foundations that power the next generation of artificial intelligence and digital innovation. As a Senior Data Engineer – Data & AI Platforms, you will play a pivotal role in designing and scaling enterprise‑grade data platforms that enable advanced analytics, artificial intelligence, and business‑critical insights. Working across cloud technologies, Snowflake, distributed processing, governance, and AI‑enabled solutions, you'll transform complex data challenges into secure, high‑performing, and reusable products. If you're passionate about modern data engineering, eager to work with cutting‑edge technologies, and motivated by delivering real business impact, this is an opportunity to shape the future of data and AI at scale.

Job Description Key Responsibilities

• Design, build, and optimize scalable data pipelines using Amazon Web Services, Snowflake, Python, and Apache Spark.
• Develop batch, event-driven, and distributed data processing solutions for enterprise-wide data products.
• Deliver reliable, high-performance data platforms that support analytics, artificial intelligence, and business insights.
• Implement data quality frameworks, monitoring, error handling, metadata management, and lineage capabilities.
• Enable strong governance through data cataloging, access controls, auditability, and compliance standards.
• Support artificial intelligence and machine learning initiatives through feature engineering and data pipeline development.
• Build reusable data assets and automation solutions that accelerate delivery and operational efficiency.
• Apply engineering best practices including version control, continuous integration, automated testing, and code reviews.
• Collaborate with product owners, architects, business stakeholders, and platform teams to deliver trusted data solutions.
• Mentor engineers and contribute to engineering standards, innovation, and technical excellence across the team.

Essential Requirements

7+ Years experience building modern data solutions using Snowflake, Structured Query Language, Python, Apache Spark, and cloud technologies. Strong expertise in extract, transform, load and extract, load, transform processes, data modelling, orchestration, and performance optimization. Hands‑on experience with Amazon Web Services services including Glue, Simple Storage Service, Lambda, Step Functions, and workflow orchestration tools. Experience implementing data governance, metadata management, lineage, compliance, and security controls using governance platforms. Familiarity with artificial intelligence and machine learning technologies, including Generative Artificial Intelligence, machine learning operations, and automation concepts. Experience applying continuous integration, continuous delivery, automated testing, version control, and cloud‑native engineering practices.

Desirable Requirements

Experience supporting Generative Artificial Intelligence, Retrieval‑Augmented Generation, or artificial intelligence‑driven automation solutions. Experience mentoring engineers and driving adoption of engineering best practices across teams.

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e‑mail to [e-mail] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Analytics, Artificial Intelligence (AI), Data Engineering, Data Pipelines, Data Science, Emerging Technologies, Generative AI, Machine Learning (ML), Natural Language, Snowflake GenAI

Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives.

In the context of China Cross‑Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov.