Tech Stack
AzureFabricPower BiSQLPythonREST ApisEtl/EltData ModelingSubscription ManagementKey VaultLakehouse ArchitectureNotebooksPysparkSpark SQLDag WorkflowsPowershell ScriptingStar SchemaGitHubGitHub ActionsTerraformCognite Data FusionJavaGCPPython SDKFlows/DuneGraphQL
Solid badges = required, outlined = preferred
Responsibilities
- Lead the design and implementation of a scalable Enterprise Data Warehouse (EDW) and efficient data engineering solutions using Azure, Fabric, Power BI, and Cognite Data Fusion®.
- Evaluate and select data technologies, frameworks, and platforms to support future business scaling needs.
- Drive and manage integrations, extractions, data modeling, and analysis using data connectors and SQL, Python/Java, and REST APIs.
- Develop and maintain data pipelines (ETL/ELT) to move data from source systems into data warehouses or data lakes, and create custom data models for data discovery, mapping, and cleansing.
- Establish standards for data quality, security, privacy, and compliance (e.g., GDPR, CCPA) and collaborate with business and engineering stakeholders to enable data-driven decisions.
Soft Skills
DevopsCross-Functional CollaborationBusiness AcumenProblem Solving
Benefits
- 401k
- Dental
- Health Insurance
- Parental Leave
- Unlimited PTO
- Vision
Culture
Mission-DrivenImpact-OrientedCross-Functional TeamsDevops MindsetKnowledge Sharing
Requirements
Required: Bachelor's or Master's degree in computer science or a related field; relevant experience may compensate for formal education.
Preferred: A business degree (MBA) or demonstrated experience working in finance, sales, marketing, supply chain, or a similar business setting is strongly preferred.
Regions: Us
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About cognite
Industry: industrial digitalization
Cognite builds AI and data solutions for industrial digitalization, focusing on solving high-impact problems and driving operational improvements.
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