Azure Data Engineer: Cloud Data Lake & Databricks (Remote)

Eliassen Group; Jackson (MS); À distance; USD 90 000 - 103 000; Temps partiel

Avantages offerts par ce poste

Medical benefits

Dental benefits

Vision benefits

401k with company match

Life insurance

Résumé du poste

Eliassen Group is seeking an Azure Data Engineer for a remote contract engagement to modernize an enterprise data platform by migrating from on-premises Oracle/DataStage to a cloud-based Azure data lake architecture.

You will design and build scalable data pipelines using Azure Databricks and Azure Data Factory, implement data-quality and validation processes, and promote data through medallion architecture layers.

Qualifications

• Hands-on data engineering 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).
• Experience with relational databases and large datasets.
• Understanding of data modeling, partitioning, and performance optimization.
• Version control with Git or similar.
• CI/CD and automated deployment practices.

Responsabilités

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

Connaissances

SQL

Python/PySpark

Data pipelines

ETL/ELT

Medallion architecture

Data modeling

Azure Databricks

Azure Data Factory

Git

CI/CD

Outils

Azure Databricks

Azure Data Factory

Git

Azure DevOps

Description du poste

Eliassen Group is seeking an Azure Data Engineer for a remote contract engagement to modernize an enterprise data platform by migrating from on-premises Oracle/DataStage to a cloud-based Azure data lake architecture.

You will design and build scalable data pipelines using Azure Databricks and Azure Data Factory, implement data-quality and validation processes, and promote data through medallion architecture layers.