Remote Senior Azure Data Engineer — Medallion Lakehouse

Able Too Work

Madison (WI)

Remote

USD 103,000 - 117,000

Full time

42 hours ago
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Benefits offered by this job

Medical, Dental, Vision benefits
401k with company matching
Life insurance

Job summary

Able Too Work seeks a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, guiding data-architecture decisions and engineering best practices.

Responsibilities include data ingestion, quality checks, medallion architecture, and collaboration with engineers, analysts, and business partners to deliver

Qualifications

  • Strong hands-on data engineering experience in enterprise environments.
  • Demonstrated 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 workflows.
  • Experience implementing data-quality, data-validation, and reconciliation processes.
  • Knowledge of medallion or lakehouse architecture, Bronze/Silver/Gold layers.
  • Experience with CI/CD and automated deployment practices.

Responsibilities

  • Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
  • Support migration of data and ETL workloads to the Azure cloud data lake.
  • Develop scalable ingestion, transformation, and data-processing solutions.
  • Design and implement medallion architecture patterns across data layers.
  • Build data-quality, reconciliation, and validation checks into pipelines.
  • Automate validation and testing to improve reliability of data products.
  • Guide data architecture decisions and engineering standards.
  • Troubleshoot pipeline failures and performance issues.
  • Collaborate with engineers, analysts, architects, and stakeholders on solutions.
  • Participate in code reviews, documentation, testing, deployment, and CI/CD.

Skills

SQL
Python
PySpark
Data pipelines
ETL/ELT
CI/CD
Git

Tools

Azure Databricks
Azure Data Factory
Oracle
Medallion architecture

Job description

Able Too Work seeks a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, guiding data-architecture decisions and engineering best practices.

Responsibilities include data ingestion, quality checks, medallion architecture, and collaboration with engineers, analysts, and business partners to deliver

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