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Senior Data Engineer NJ
2 months ago
At Genmab, we're committed to building innovative futures together, by developing cutting-edge antibody products and pioneering therapies that change the lives of patients and the future of cancer treatment and serious diseases.
Job SummaryThe Senior Data Engineer will collaborate with business analysts and data scientists to implement data-driven solutions for business challenges.
Key Responsibilities- Design, implement, and manage ETL data pipelines that ingest vast amounts of commercial and scientific data from public, internal, and partner sources into various repositories on a cloud platform (AWS).
- Enhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools.
- Implement and maintain databases for raw and processed commercial and scientific data.
- Innovate and advise on the latest technologies and standard methodologies in Data Engineering and identify software solutions that can address hurdles in data enablement.
- Develop and maintain accurate and reliable data pipelines using Python and SQL.
- Define and contribute to data engineering practices for the group, establish templates and frameworks, and determine the best usage of specific cloud services and tools.
- Transform data using Python on challenges varying from complex aggregations, wrangling, quality control, and calculations.
- Collaborate with data scientist leads to determine best-suited data enablement methods to optimize the interpretation of the data, including creating presentations and leading tutorials on data usage.
- Participate in code reviews and contribute to best practices in data engineering. Apply value-balanced approaches to the development of the data ecosystem and pipeline initiatives.
- Proactively communicate data ecosystem and pipeline value propositions to partnering scientific collaborators.
- Share expertise of Python and related libraries throughout the group.
Requires at least a Bachelor's degree or foreign equivalent in Information Technology, Bioinformatics, or a closely related field.
Employer will accept candidates with any suitable combination of education and experience.
Must possess at least 5 years of experience with each of the following: (a) developing and managing large-scale ETL data pipelines on AWS; (b) developing and maintaining data pipelines using Python and SQL; (c) designing and implementing ETL solutions for processing data using Kinesis; (d) utilizing all of the following: AWS Glue; AWS Step Functions; CI/CD; Redshift; Lambda; Docker; Linux Shell Scripting; Pandas; Pyspark; Numpy; software development methodologies; and Batch and Elastic Load Balancing.
This position requires only little domestic travel. Position allows working from home within commuting distance of worksite location.
About GenmabGenmab is an international biotechnology company with a core purpose guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics.
For more than 20 years, its passionate, innovative, and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies, and antibody-drug conjugates.
To help develop and deliver novel antibody therapies to patients, Genmab has formed 20+ strategic partnerships with biotechnology and pharmaceutical companies.
By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSOTM) antibody medicines.
Established in 1999, Genmab is headquartered in Copenhagen, Denmark, with locations in Utrecht, the Netherlands, Princeton, New Jersey, U.S., and Tokyo, Japan.
We are committed to fostering workplace diversity at all levels of the company and believe it is essential for our continued success.
No applicant shall be discriminated against or treated unfairly because of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information.
Learn more about our commitments on our website.
