MLOps Engineer (Focusing AWS platform) - RDT Pharma Medicines

Roche; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Roche Hyderabad is seeking a Data Engineer to design, develop, and maintain scalable AWS-based data pipelines and infrastructure. You will build ETL/ELT processes, optimize storage (data warehouses, data lakes, lakehouse), ensure data quality, and collaborate with data product owners, scientists, and analysts to deliver analytics-ready data products.

You will own projects end-to-end, work with Python, PySpark, SQL, Spark, and cloud tools, and contribute to data products powering sales force

Qualifications

• 6-10 years in data engineering with proven independent delivery of large-scale pipelines.
• Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems.
• Proven track record of independently building ETL/ELT processes and optimizing data storage solutions such as data warehouses and data lakes.
• Experience ensuring data quality, reliability, and monitoring data systems

Responsibilities

• Scope: Leads the design, build, and maintenance of scalable data pipelines. Works independently to execute specific data engineering projects from start to finish
• Accountability/Problem Solving: Solves complex data ingestion and processing problems. Optimizes data flows and actively enhances overall system performance
• Stakeholder Management: Engages with broader business units, business analysts and data scientists to understand and meet their data needs
• Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that improve the organization’s data infrastructure
• Complexity: Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms

Skills

SQL

Python

PySpark

Big Data

Data Modeling

ETL/ELT

Spark

Tools

Airflow

dbt

Terraform

CloudFormation

Git

Docker

Job description

• HCP/HCO master data (Veeva Network, OneKey), patient-level longitudinal data, de-identification

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

Job Description

Data Engineer is responsible for designing, developing, and maintaining scalable and robust AWS based data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses , data lakes and Lake House ), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data product owners, data scientists and data and business analysts to meet their specific data requirements, utilizing strong programming skills in Python, PySpark, expert SQL knowledge, and proficiency in big data technologies like Spark. Turn raw commercial data (claims, sales, specialty pharmacy, payer, CRM) into reliable, compliant, analytics-ready data products that power sales force effectiveness, market access, brand analytics and forecasting. Works independently, owns projects end to end, and partners with data product owners, data scientists and business analysts.

Job Responsibilities

• Scope: Leads the design, build, and maintenance of scalable data pipelines. Works independently to execute specific data engineering projects from start to finish
• Accountability/Problem Solving: Solves complex data ingestion and processing problems. Optimizes data flows and actively enhances overall system performance
• Stakeholder Management: Engages directly with broader business units, business analysts and data scientists to thoroughly understand and meet their data needs. Communicates effectively with both technical and non-technical stakeholders
• Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure
• Complexity : Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms

Qualifications

• 6-10 years in data engineering with proven independent delivery of large-scale pipelines
• Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems
• Proven track record of independently building ETL/ELT processes and optimizing data storage solutions such as data warehouses and data lakes
• Experience ensuring data quality, reliability, and monitoring data systems

Technical Skills

• Proficiency in programming languages such as SQL, Python, PySpark
• Proficiency in AWS Cloud based Data Engineering skills - S3, Lambda, AWS Glue, Athena, Airflow, DAGs, RedShift, RDS, AWS DataSync, AWS Step Functions, QuickSight, dbt
• Strong, expert knowledge of cloud platforms and Big Data tools, specifically Spark
• Strong data modeling (dimensional, data vault, lakehouse), partitioning and file formats. Data quality, monitoring and incident troubleshooting experience
• Experience building data products, designing a semantic layer, and handling unstructured data
• Terraform or CloudFormation, Git-based CI/CD, containerization
• Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance

Preferred Qualifications

• Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders
• HCP/HCO master data (Veeva Network, OneKey), patient-level longitudinal data, de-identification
• Commercial use cases: sales performance, market access, patient journey, next best action
• AWS certification (Data Engineer Associate, Solutions Architect, Big Data Specialty)

#Hyderabad2026

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Roche is an Equal Opportunity Employer.