Remote Azure Data Engineer: Data Lake & Databricks

Eliassen Group; Carson City (NV); Teletrabalho; USD 90 000 - 103 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Medical benefits

Dental benefits

Vision benefits

401k with match

Life insurance

Resumo da oferta

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, implementing data-quality checks and medallion architecture.

Collaborate with engineers, analysts, and business partners to deliver reliable data products.

Qualificações

• 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 or ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
• Experience working with relational databases and large, complex datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience working with CI/CD and automated deployment practices.
• Analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.
• Communication and collaboration skills.

Responsabilidades

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
• Build data-quality, reconciliation, and validation checks directly into data pipelines and engineering workflows.
• Automate validation and testing to improve the reliability of data products.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices across the team.

Conhecimentos

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

Data pipelines

Medallion architecture

CI/CD

Git

Ferramentas

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

Descrição da oferta de emprego

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to a cloud Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, implementing data-quality checks and medallion architecture.

Collaborate with engineers, analysts, and business partners to deliver reliable data products.