Client is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft Azure based data analytics platform.
ou will support continued maintenance of ETL operations and development of new pipelines ensuring data quality and data management.
The ideal candidate will bring deep expertise in Databricks, a solid foundation in advanced AI technologies, and applies critical thinking to create innovative functions and solve technical issues by cross-functional team collaboration.
This role is remote for candidates located within the United States; however, the ideal candidate will be based in or willing to relocate to the Washington, DC or Indianapolis, IN area to support periodic on-site activities.?.
For this position, you must possess:
- BS degree in Computer Science or related field and 3+ years or Master’s degree with 2+ years of experience
- 3+ years of experience developing and designing Ingestion flows (structured, streaming, and unstructured data) using cloud platform services with data quality
- Databricks Data Engineer certification and 2+ years of experience maintaining Databricks platform and development in Spark
- Ability to work directly with clients and act as front line support for requests coming in from clients. Clearly document and express the solution in form of architecture and interface diagrams.
- Proficient at Python, Spark and R are essential. .NET based development is a plus.
- Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security.
- Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS).
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