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Roche

Data Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D

Roche is hiring a Data Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D in Hyderabad, India. Level rates it ; you can apply on Roche.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Roche has 1,200+ other open roles on Level.

AI in this role

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 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

 

 

 

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.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we rate this

Data Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D at Roche rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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$150k

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