Data Engineer

4 weeks ago

Bengaluru, Karnataka, India Danaher Full time

Beckman Coulter Life Sciences' mission is to empower those seeking answers to life's most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to transform science and healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 associates across 130 countries, you'll help drive our vision of accelerating answers—and our commitment to excellence.

Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Do you want to work in Data analytics for Operations? Do you enjoy Data engineering? Then read on

We are currently seeking a Junior Data scientist who will be responsible for play a vital role in leveraging data to enhance our supply chain processes, improve efficiency, and drive cost savings.

In this role, you will be responsible for:

  • Pipeline development and data integration: build, sustain and optimize robust ETL (Extract, Transform, Load) processes and pipelines from various sources to lay the foundations of all analytics within the team.
  • Architecture and Master Data Management: design and implement architectures that support storage, retrieval and analysis of large datasets while maintaining a gold standard of data quality in the data warehouse.
  • Collaboration: collaborate with cross-functional teams, including data scientists, analysts, embedded and software engineers, to understand data requirements and provide data solutions.
  • Performance optimization: continuously improve the performance and scalability of data systems, including query optimization and infrastructure enhancements.
  • Data governance: implement policies and standards to ensure data security, privacy and compliance with regulatory requirements and audits in the Life Science field.

The required qualifications for the job include:

  • Bachelor's with 7 years of experience or Master's with 5 years of experience in Mathematics, Computer Science, Information Technology, Engineering or related field.
  • Strong proficiency in data warehousing and ETL tools (Informatica, SQL, NoSQL, Apache Spark, Hadoop...)
  • Proficiency in programming languages Python, Java, Scala
  • Proven experience with cloud platforms and data technologies (AWS, Azure/Fabric, GCP, Big Query, Redshift, Snowflake...)
  • Expertise in database management systems and data quality assessment and maintenance (MDM...)
  • Must be objective and measurable, eg. education, years of experience per GCRF job leveling guidelines (do not cap years of experience), specific systems proficiency or industry experience. Do not include soft skills.>

It would be a plus if you also possess previous experience in:

  • Experience in operations, supply chain, planning or commercial in Life Sciences, Diagnostic, BioPharma field or any highly regulated field.
  • Experience with real-time data processing and streaming platforms (Kafka...)
  • Knowledge of ML ops or data science

Remote or Hybrid language goes here (select one of these if remote or Hybrid or remove entirely if Onsite Role):

Hybrid Job Posting Language:

At Beckman Coulter Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Beckman Coulter Life Sciences can provide.

Advice for TA/HR:

  • Some countries require the addition (d/f/m) behind the job title. Make sure to comply to local law/standards
  • Some countries do not allow to state number of years of experience (e.g. 5+ years) this is considered discriminating. Use 'multiple years of experience' (for 3-5y) or 'long-standing experience' (for 7-10+y) instead.
  • Do not use abbreviations or wording that cannot be understood by externals
  • Some countries consider the term 'native speaker' as discriminating. You may write fluent instead.

This job is eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical insurance to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

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