Senior Data Engineer - Data and AI Platforms

Novartis India; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Novartis India is seeking a Senior Data Engineer for Data & AI Platforms in Hyderabad. The role focuses on designing and scaling enterprise-grade data platforms enabling analytics, AI, and business insights across cloud environments.

You will work on Snowflake, Spark, Python, and AWS services to deliver secure, high-performing data products. The ideal candidate has 7+ years of experience in modern data solutions, strong data governance awareness, and a track record of building reusable data

Qualifications

• 7+ years of experience building modern data solutions with Snowflake, SQL, Python, Spark, and cloud tech.
• Strong expertise in ETL/ELT, data modeling, orchestration, and performance optimization.
• Hands-on AWS services: Glue, S3, Lambda, Step Functions, and orchestration tools.
• Experience with data governance, metadata, lineage, and security controls.

Responsibilities

• Design, build, and optimize scalable data pipelines using AWS, Snowflake, Python, and Spark.
• Develop batch, event-driven, and distributed data processing solutions for enterprise data products.
• Deliver reliable, high-performance data platforms for analytics and AI initiatives.
• Implement data quality, metadata management, and lineage capabilities.

Skills

Snowflake

Python

Apache Spark

SQL

Data modeling

Cloud technologies

Tools

AWS Glue

S3

Lambda

Step Functions

Airflow

Job description

Senior Data Engineer – Data & AI Platforms 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 Experience Level Senior Level