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1 week ago
As a key player in our organization, you will be responsible for architecting and implementing data pipelines and architectures that are scalable, efficient, and effective.
Job DescriptionThis is a full-time hybrid role for a Data Engineer. The ideal candidate will design, build, and maintain data pipelines and architectures to drive business growth and improve operational efficiency.
- Data Pipeline Development: Design and implement scalable data pipelines using Azure Cloud services and Databricks.
- Data Ingestion: Develop, maintain, and optimize data ingestion processes from multiple sources.
- Automation and Scripting: Utilize Python programming to develop custom scripts and automation for data processing.
- API Integration: Work with APIs to facilitate interaction between different data systems and applications.
- Collaboration and Communication: Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Data Quality and Governance: Participate in data quality assessments and ensure compliance with data governance practices.
The ideal candidate should have proven experience with CDHUB and FIG data, strong proficiency in Python programming, hands-on experience with Azure Databricks, and a strong understanding of Pyspark.
About this Role: This is an exciting opportunity to join our team as a Data Engineer. If you have a passion for working with data and are looking for a challenging role, we encourage you to apply.
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