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Senior Data Engineer
1 month ago
At Genmab, we're committed to building innovative solutions that transform the lives of patients with cancer and other serious diseases.
We're seeking a highly skilled Senior Data Engineer to join our team and collaborate with business analysts and data scientists to implement data-driven solutions for business challenges.
The ideal candidate will have a strong background in developing and managing large-scale ETL data pipelines on AWS, as well as experience with designing and implementing ETL solutions for processing data using Kinesis.
The Senior Data Engineer will be responsible for designing, implementing, and managing 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).
Key Responsibilities:
- Design and implement ETL data pipelines using AWS Glue, AWS Step Functions, and CI/CD
- Develop and maintain data pipelines using Python and SQL
- Design and implement ETL solutions for processing data using Kinesis
- Collaborate with data scientist leads to determine best-suited data enablement methods to optimize the interpretation of the data
- Participate in code reviews and contribute to best practices in data engineering
Requirements:
- At least 5 years of experience with developing and managing large-scale ETL data pipelines on AWS
- Experience with designing and implementing ETL solutions for processing data using Kinesis
- Strong background in Python and SQL
- Experience with AWS Glue, AWS Step Functions, and CI/CD
- Excellent communication and collaboration skills
What We Offer:
- Competitive salary and benefits package
- Opportunity to work with a talented team of data engineers and scientists
- Collaborative and dynamic work environment
- Professional development opportunities
Genmab is an equal opportunity employer and welcomes applications from diverse candidates.