Diverse Lynx is seeking an Azure Databricks Engineer in Atlanta, GA to optimize data processing solutions using Azure services. The role involves monitoring resources and proposing architecture improvements for both batch and streaming environments.
Azure databricks Engineer job at Diverse Lynx. Atlanta, GA. Role: Azure databricks Engineer Location: Atlanta, GA (Onsite) Contract JD zure databricks (Core), Azure services (Admin), Cosmos DB, Pyspark, Python, SQL, SSIS, ETL Streaming and batch data processing in Hadoop and Cloud Databricks environment. Roles and responsibilities: Propose good and optimized solutions and architecture for new/existing projects Solutions should primarily focus on saving latency and costs in batch and streaming environment Create cost reports for existing sources in databricks Monitor current Azure/Databricks resources + Cost used and suggest best resources/configurations for new/existing projects Work on databricks core projects (this can be moving sources to databricks/configuration changes etc.) Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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Diverse Lynx is seeking an Azure Databricks Engineer in Atlanta, GA to optimize data processing solutions using Azure services. The role involves monitoring resources and proposing architecture improvements for both batch and streaming environments.
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Diverse Lynx is seeking an Azure Databricks Engineer for a contract position in Louisville, KY, responsible for building an Enterprise Data platform. The role involves designing scalable data pipelines and leveraging Databricks technology for healthcare data processing.
Diverse Lynx is seeking an Azure Databricks Engineer in Atlanta, GA to optimize data processing solutions using Azure services. The role involves monitoring resources and proposing architecture improvements for both batch and streaming environments.