
Senior Data Engineering Professional
2 weeks ago
We are seeking a seasoned professional to lead our data engineering initiatives. As a key member of our team, you will be responsible for designing, developing, and implementing data pipelines, ETL/ELT processes, and data integration solutions.
You will contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks. Additionally, you will collaborate with global cross-functional teams, including research scientists, to understand data requirements and design solutions that meet business needs.
Key Responsibilities:
- Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
- Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
- Collaborate with global cross-functional teams, including research scientists, to understand data requirements and design solutions that meet business needs
To succeed in this role, you must possess the following skills and qualifications:
Bachelor's degree with 2-6 years of experience in Computer Science, IT or related field.
Preferred Qualifications:
- 1+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms)
- Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
- Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
- Excellent problem-solving skills and the ability to work with large, complex datasets
As a member of our team, you can expect:
Competitive salary and benefits package
Opportunities for professional growth and development
Collaborative and dynamic work environment
OthersIf you are a motivated and detail-oriented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.
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