Remote Azure Data Engineer - Cloud Data Lake Pipelines

Eliassen Group

Olympia (WA)

Remote

USD 103,000 - 117,000

Full time

3 days ago
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Benefits offered by this job

Medical Dental Vision benefits
401k with company matching
Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to help modernize an enterprise data platform by migrating data and workloads from on-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable pipelines with Azure Databricks and Data Factory, contributing to architecture decisions and engineering best practices.

This contract-to-hire role is remote (Anywhere) with W2 benefits and competitive hourly pay.

Qualifications

  • Strong hands-on data engineering in enterprise environments.
  • Experience with Azure Databricks and Azure Data Factory.
  • Strong SQL and Python or PySpark development skills.
  • Experience designing and developing batch data pipelines and ETL/ELT.
  • Experience implementing data-quality, data-validation, and reconciliation processes.

Responsibilities

  • Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
  • Migrate data and ETL workloads from on-prem Oracle/DataStage to Azure cloud data lake.
  • Develop scalable ingestion/transformations and data-processing solutions.
  • Design/implement medallion architecture across Bronze, Silver, Gold layers.
  • Build data-quality checks and validation into pipelines and workflows.

Skills

Azure Databricks
Azure Data Factory
SQL
Python
PySpark

Tools

Git
Azure DevOps

Job description

Eliassen Group is seeking a Senior Azure Data Engineer to help modernize an enterprise data platform by migrating data and workloads from on-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable pipelines with Azure Databricks and Data Factory, contributing to architecture decisions and engineering best practices.

This contract-to-hire role is remote (Anywhere) with W2 benefits and competitive hourly pay.

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