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Data Engineer

4 months ago

Independence, United States ConsultNet Full time

Data Engineer
$110k
44131

Position Description
The Data Engineer will play a crucial role in designing, implementing, and maintaining our organization's data infrastructure. This role will contribute to the efficient storage, retrieval, and analysis of data, enabling informed decision-making across our organization.

Responsibilities

  • Collaborate with cross-functional teams to understand data requirements to design efficient data warehouse solutions
  • Develop and maintain a robust data warehouse architecture that ensures scalability, performance, and data integrity
  • Implement pipelines to move raw data in Azure Synapse using Azure Data Factory, SQL, Python, C# in line with well-established architectural standard related to Data Lakehouse and
  • Data Warehouse modeling standards
  • Data Quality Assurance - ensure data accuracy, consistency, and integrity throughout all processes, and implement data governance best practices.
  • Monitor and tune the data warehouse performance to ensure optimal query execution and data retrieval times
  • Identify and resolve bottlenecks in the ETL pipelines and data warehouse infrastructure
  • Develop and maintain data models, including dimensional and star schemas, to support efficient querying and reporting
  • Collaborate with reporting and analytics teams to understand requirements and translate them into effective data structures
  • Implement security measures to protect sensitive data within the data warehouse
  • Work closely with developers, analysts, and other stakeholders to understand their data needs and provide necessary support
  • Document data warehouse processes, data dictionaries, and ETL workflows for knowledge sharing and future reference
  • Design, implement, and document data architecture and data modeling solutions
  • Participate with Data Analyst(s) as needed to define minimal viable data assets in support of the visual needs.
  • Review and provide architectural guidance for analytic solutions
  • Triage and troubleshoot data anomalies submitted by the user community


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