Azure Databricks Data Engineer

Job Requirements

• Location: Louisville, KY
• Duration: 6 months
• Experience Required: 8-10 years
• Role: Databricks / Azure Data Engineer

Must-Have Technical & Functional Skills

• Experience developing and implementing data pipelines using Azure Data Factory (ADF).

• Experience ingesting data from multiple sources using Azure ADF.

• Experience transforming data using Azure Databricks and Delta Lake.

• Experience with Azure DevOps for CI/CD, including:

• Stories

• Bugs

• Issue management

• Experience implementing Prefect.

• Strong hands-on experience with Databricks.

• Experience working with Microsoft Azure integration solutions.

Roles & Responsibilities

• Work on Agile development projects and participate in sprint delivery.
• Design and implement data integration solutions in Microsoft Azure.
• Develop and maintain data pipelines using Azure Data Factory.
• Ingest data from various source systems into Azure.
• Perform data transformations using Azure Databricks and Delta Lake.
• Implement and maintain workflows using Prefect.
• Perform data analysis and troubleshooting for data-related issues.
• Assist in identifying and resolving data quality and pipeline issues.
• Collaborate with development teams to support CI/CD processes using Azure DevOps.
• Act as an individual contributor and problem solver.
• Participate in Agile ceremonies, sprint planning, and delivery activities.

Generic Managerial / Agile Skills

• Experience working in Agile development environments.
• Experience with sprint planning and sprint delivery.
• Strong analytical and problem-solving skills.
• Ability to work independently as an individual contributor.

Role Details

• Role Description: Databricks
• Essential Skill: Databricks
• Desirable Skills: Not specified
• Keyword: Databricks
• Skill Category: Digital - Databricks