Data Engineer
1 month ago
Puma Energy seeks an experienced Data Engineer to collaborate with our data scientists and business stakeholders. The selected candidate will design, develop, and maintain efficient data pipelines feeding into our organization's data lake.
The ideal candidate will have a strong understanding of data engineering principles, including ETL, data modeling, and cloud technologies. He/She will work closely with cross-functional teams to ensure the data lake contains accurate, up-to-date, and high-quality data, enabling data scientists to develop insightful analytics and business stakeholders to make well-informed decisions.
Key Responsibilities:
- Design, develop, and maintain data architecture and pipelines adhering to ETL principles and business goals.
- Develop complex queries and solutions using Scala, .NET, and Python/PySpark languages.
- Implement and maintain data solutions on Azure Data Factory, Azure Data Lake, and Databricks.
- Create data products for analytics and data scientist team members.
- Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices.
Requirements:
- 10 years of overall experience and at least 5 years of relevant experience.
- 5 years of experience working with Azure data factory and Databricks in a retail environment.
Skills:
- Bachelor's degree required; Computer Science Engineering.
- 5+ years of experience working in data engineering or architecture role.
- Expertise in SQL and data analysis and experience with at least one programming language (Scala and .NET preferred).
- Experience developing and maintaining data warehouses in big data solutions.
- Experience with Azure Data Lake, Azure Data Factory, and Databricks in the data and analytics space is a must.
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