Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
About the role
- Data Engineer responsible for developing and maintaining data pipelines. Collaborating with US business team and utilizing in-house data platform.
Responsibilities
- You will be responsible and accountable for the development and maintenance of data pipelines.
- You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform.
- Design, build, and maintain efficient, reusable, and reliable code.
- Ensure the best performance and quality of applications.
- Identify the issues and provide solutions to mitigate and address these issues.
- Help maintain code quality, organisation, and automation to ensure optimal performance.
- Continuously expand the body of knowledge via research.
- Comply with corporate quality policies and procedures.
- Ensure all training requirements are completed promptly.
Requirements
- At least 3 years of Python programming experience, including data transformations using Pandas/PySpark libraries.
- CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred.
- Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred.
- Having experience working on different Python libraries and willing to learn/work on new libraries.
- Having advanced analytical and problem-solving skills.
- Understands the business processes and business data used in data transformations.
- Knowing SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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