Senior Data Consultant

New
T
Trility ConsultingData Consulting
Work remotely anywhere in the United StatesContractSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
SQLSparkDatabricksAzure DevOps

Requirements

  • 5+ years of experience working with Azure Data Services, including Microsoft Fabric, Azure Data Factory, Databricks, or Synapse.
  • Hands-on Microsoft Fabric experience in production environments.
  • Strong experience building and maintaining ETL/ELT pipelines.
  • Experience developing Spark notebooks and data transformation workflows.
  • Experience implementing medallion architecture patterns (Bronze, Silver, Gold).
  • Strong SQL skills for data transformation, validation, and performance tuning.
  • Experience integrating data from REST APIs, relational databases, XML, CSV, and other structured or semi-structured data sources.
  • Experience working with Azure DevOps CI/CD processes.
  • Familiarity with data governance, lineage, and metadata management concepts.
  • Experience working within lakehouse architectures and cloud-based analytics platforms.
  • Strong written and verbal communication skills.

Responsibilities

  • Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes.
  • Develop and orchestrate Spark notebooks within Microsoft Fabric.
  • Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments.
  • Develop ingestion processes that accommodate schema drift and evolving source systems.
  • Design reusable ingestion frameworks and scalable data engineering patterns.
  • Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability.
  • Support the implementation of semantic models, Direct Lake solutions, and downstream analytics requirements.
  • Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows.
  • Implement metadata, lineage, governance, and security best practices.
  • Collaborate closely with client engineers through paired development and knowledge-sharing activities.
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