Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- Data Engineer responsible for developing and maintaining data pipelines at Beghou Consulting. Collaborating with teams to optimize data processes for life sciences companies.
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, organization, and automation to ensure optimal performance.
- Continuously expand the body of knowledge via research.
Requirements
- 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
Benefits
- Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. • Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
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