Data Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
Roche Holding · roche.com
HyderabadSenior
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The job in short
Build and maintain data pipelines and data infrastructure for pharma R&D submission data.
PythonJavaScalaSQLSparkHadoopAWSAzureGCP
Details
- Found
- 9 d ago · posted 2026-10-28
- Location
- Hyderabad, Telangāna
Full description
Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.
La position
Job description
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.
Description of the area
Job Responsibilities
• Scope / (Content Leadership): 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 and data scientists to thoroughly understand and meet their data needs. Communicates effectively with both technical and non-technical stakeholders.
• Integrate data from databases, APIs, applications, files, streaming platforms, and third-party systems.
• Develop robust data transformation and processing workflows using SQL, Python, and distributed processing technologies.
• Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure.
• Complexity / (Product Size): Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms.
• Develop reusable engineering components and follow software engineering practices including Git, CI/CD, testing, code reviews, and documentation.
• Collaborate with technical leads across Data, Content, Integration, UI, and Platform, as well as architects, product teams, and business stakeholders, to translate business and technical requirements into scalable solutions.
Qualifications
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.
Technical Skills
• 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.
Additional 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.
Shift: CET time zone
#Hyderabad2026
Qui nous sommes
Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial.
Construisons ensemble un avenir plus sain.
Roche est un employeur offrant l'équité en matière d'emploi.
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