Data Engineer I

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.

Who you are:

• As part of a global, growing team of data engineers, you will collaborate in a DevOps model to enable Life Science business with cutting-edge technology, leveraging data as an asset to support better decision-making.
• You will design, develop, test, and support automated end-to-end data pipelines and applications within Life Science’s data management and analytics platform (Palantir Foundry, Hadoop, and other components).
• This position requires proficiency in data engineering, distributed computation, and DevOps methodologies, utilizing AWS infrastructure and on-premises data centers to support multiple technology stacks.
• Develop data pipelines by ingesting various structured and unstructured data sources into Palantir Foundry.
• Participate in end-to-end project lifecycles, from requirements analysis to deployment and operations.
• Act as a business analyst for developing requirements related to Foundry pipelines.
• Review code developed by other data engineers, ensuring adherence to platform standards and functional specifications.
• Document technical work professionally and create high-quality technical documentation.
• Balance technical feasibility with strict business requirements.
• Deploy applications on Foundry platform infrastructure with clearly defined checks.
• Implement changes and bug fixes following change management framework.
• Work in DevOps project setups following Agile principles (e.g., Scrum).
• Act as third-level support for critical applications, resolving complex incidents and debugging problems across the full stack.
• Work closely with business users, data scientists, and analysts to design physical data models.
• Provide support in designing ETL/ELT processes with databases and Hadoop platforms.
• 5+ years of experience in system engineering or software development.
• 3+ years of experience in engineering with a focus on ETL work involving databases and Hadoop platforms.

Your Role :

• Hadoop General: Deep knowledge of distributed file system concepts, map-reduce principles, and distributed computing. Familiarity with Spark and its differences from MapReduce.
• Data Management: Proficient in technical data management tasks such as reading, transforming, and storing data, including experience with XML/JSON and REST APIs.
• Spark: Experience in launching Spark jobs in both client and cluster modes, with an understanding of property settings that impact performance.
• Application Development: Familiarity with HTML, CSS, JavaScript, and basic visual design competencies.
• SCC/Git: Experienced in using source code control systems like Git.
• ETL/ELT: Experience developing ETL/ELT processes, including loading data from enterprise-level RDBMS systems (e.g., Oracle, DB2, MySQL).
• Authorization: Basic understanding of user authorization, preferably with Apache Ranger.
• Programming: Proficient in Python, with expertise in at least one high-level language (e.g., Java, C, Scala). Must have experience using REST APIs.
• SQL: Expertise in SQL for manipulating database data, including views, functions, stored procedures, and exception handling.
• AWS: General knowledge of the AWS stack (EC2, S3, EBS, etc.).
• IT Process Compliance: Experience with SDLC processes, change control, and ITIL (incident, problem, and change management).

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!