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AWS DataBricks
2 months ago
Education
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Bioprocess Engineering, Chemical Engineering, or a related field.
Experience
- Proven experience of 5-7 years as a Data Engineer or in a similar role, with previous experience in the pharmaceutical industry being highly regarded.
- Hands-on experience with Databricks and the Medallion Architecture.
- Strong proficiency in programming languages such as Python, SQL, and PySpark.
- Experience with data cataloging tools like Collibra is highly regarded.
- Experience with Azure or GCP is desirable but not required.
- Experience in R&D bioprocessing or biopharmaceutical engineering, with an understanding of the specific data needs and challenges in this environment, is highly regarded.
Skills and Competencies
- Strong analytical and problem-solving skills.
- Excellent understanding of ETL/ELT processes and data pipeline development.
- Knowledge of metadata management and data quality processes.
- Proficiency in data modeling, data warehousing, and big data processing frameworks.
- Excellent communication and collaboration skills.
- Ability to learn new technologies quickly and develop new skills as needed.
- Capable of identifying the best approach forward for various data engineering challenges.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Certifications (Preferred)
- Databricks Certified Data Engineer Associate or Professional.
- AWS Certified Data Analytics – Specialty.