Data Engineer - Delivery
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Some ghost-posting signals
- open for 200 days (90+ without a fill is a strong ghost signal)
- 88 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Purpose of Job
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.
We'll trust you to:
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, organization, 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.
You'll need to have:
At least 2 years of Python programming experience, including data transformations using PySpark library.
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.
Understands the business processes and business data used in data transformations.
Having experience working on different Python libraries and willing to learn/work on new libraries.
Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Having advanced analytical and problem-solving skills.
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