Data Engineer role specializing in Azure & Snowflake at InfoCentric. Leading design and delivery of enterprise - scale data platforms for large organizations.
About the role
- Data Engineer at BASE life science designing and maintaining data solutions in a dynamic environment. Collaborating with teams and engaging clients in the life sciences industry.
Responsibilities
- Designing, building and maintaining data pipelines and data architecture for our clients.
- Collaborating with cross-functional teams to design and implement data-driven solutions.
- Engaging in client meetings to gather requirements and provide technical data solutions.
- Enhancing data quality and supporting data governance best practices.
Requirements
- Master’s degree in STEM (Science, Technology, Engineering, and Mathematics) or another quantitative field.
- Experience with Python and/or other programming languages (e.g., R, Java, C++).
- Experience with developing and maintaining data/ETL flows.
- Strong problem-solving skills and ability to work independently.
- Strong communication and teamworking skills.
- Knowledge of using a bash- termina, databases, data warehousing, ETL, and data modelling concepts.
- Ability to evaluate complex problems and identify clear, data-driven solutions.
- Curious and investigative mindset with a drive to deepen technical expertise.
- High attention to detail, ensuring accuracy, quality, and adherence to procedures.
- Proactive and results-oriented attitude, taking initiative and driving work to completion.
Benefits
- Health insurance.
- Remote work friendliness, with an expectation that you are in the office at least once a week.
- Ongoing learning and development.
- Contributions to physical, social, and emotional health.
- Home office setup with laptop and other electronic devices.
- The chance to help make a difference for patients around the world.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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