Senior Azure Data Engineer - Pipelines & Databricks

Insight Global (United States)

Portland (OR)

On-site

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

Insight Global in Portland, OR is seeking an experienced Data Engineer to design, develop, and optimize cloud-based data solutions in the Azure ecosystem. You will build scalable data pipelines, integrate data from multiple sources, and deliver production-ready solutions using Azure Databricks, Data Factory, SQL, and Python in an Agile environment.

Responsibilities include implementing Azure solutions, data ingestion strategies, and collaborating with cross-functional teams to ensure data

Qualifications

  • 5+ years hands-on development in cloud-based solutions (Azure/AWS).
  • 5+ years with Azure including ADF, Synapse, Data Lake Storage, SQL DW, Cosmos DB, Functions, Serverless, ARM Templates.
  • 5+ years Databricks development using SQL and Python.

Responsibilities

  • Analyze, design, and implement Azure solutions using ADF, Synapse, SQL, Data Lake, and Logic Apps.
  • Design and implement data ingestion techniques from multiple sources using Azure Databricks.
  • Partner with Data Engineering and cross-functional teams on data processing, integration, and transformation.
  • Participate in daily standups, sprint planning, and demos in an Agile model.
  • Collaborate across company hierarchy in a dynamic matrix environment.
  • Execute against a backlog of User Stories and tasks on Jira.
  • Maintain best practices for cloud-based solution development.

Skills

Azure
Azure Data Factory
Azure Synapse
Azure Data Lake Storage
SQL
Python
Databricks
CI/CD
DevOps
Jira
GitHub
Agile

Tools

Jira
GitHub

Job description

Insight Global in Portland, OR is seeking an experienced Data Engineer to design, develop, and optimize cloud-based data solutions in the Azure ecosystem. You will build scalable data pipelines, integrate data from multiple sources, and deliver production-ready solutions using Azure Databricks, Data Factory, SQL, and Python in an Agile environment.

Responsibilities include implementing Azure solutions, data ingestion strategies, and collaborating with cross-functional teams to ensure data

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