
Senior Data Architect
3 days ago
**Job Title:** Data Engineering Manager
At our organization, we are seeking a seasoned data engineering manager to lead and manage high-performing teams of data engineers. This role requires expertise in designing, developing, and implementing data pipelines, ETL processes, and data integration solutions.
Responsibilities:
- Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks.
- Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency.
- Optimize large datasets for query performance.
- Collaborate with global multi-functional teams to understand data requirements and design solutions that meet business needs.
**Qualifications:**
- Doctorate Degree OR Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field.
- 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms).
**Skills:**
- 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.
- Able to engage with business collaborators and mentor team to develop data pipelines and data models.
**Certifications:**
- Databricks Certified Data Engineer Professional preferred.
**Soft Skills:**
- Excellent critical-thinking and problem-solving skills.
- Good communication and collaboration skills.
- Demonstrated awareness of how to function in a team setting.
- Demonstrated presentation skills.
**Keyword:** DataEngineering
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