Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Roche is seeking a Senior IT Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. You will build ETL/ELT processes, optimize data storage (warehouses/lakes), ensure data quality, and work with data scientists to meet data requirements using SQL, Python, and Spark.
Strong experience with Hadoop/Spark and cloud platforms (AWS/Azure/GCP) is required. Excellent collaboration and governance skills are essential for delivering robust data solutions at scale around
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.
The Senior IT Data Engineer is responsible for leading, designing, developing, and maintaining scalable and robust data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses and data lakes), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data scientists and analysts to meet their specific data requirements, utilizing strong programming skills in Python or Scala, expert SQL knowledge, and proficiency in big data technologies like Spark.
Education / Experience: 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. Hands-on experience with at least one major cloud platform: AWS, Azure or GCP. Understanding of data formats and technologies such as Parquet, JSON, Delta Lake. Strong understanding of data quality, reliability, security, and governance principles.
Proficiency in programming languages such as SQL, Python, Java, or Scala. Strong, expert knowledge of cloud platforms and Big Data tools, specifically Hadoop and Spark. Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance.
Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders.
Shift: CET time zone #Hyderabad2026
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. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.