Expedite Technology Solutions
Primary Skill:
Responsibilities:
- DBT Labs
- Snowflake
- Databricks
- Databricks Unity Catalog
Responsibilities:
- Develop, optimize, and maintain data pipelines using Azure Data Factory (ADF), DBT Labs, Snowflake, and Databricks.
- Develop reusable jobs and configuration-based integration framework to optimize development and scalability.
- Manage data ingestion for structured and unstructured data (landing/lake house: ADLS, Sources: ADLS, Salesforce, SharePoint Documents Libraries, Partner Data: Client, IHME, WASDE, etc.).
- Implement and optimize ELT processes, source-to-target mapping, and transformation logic in DBT Labs, Azure Data Factory, Databricks Notebook, Snow SQL, etc.
- Collaborate with data scientists, analysts, data engineers, report developers, and infrastructure engineers for end-to-end support.
- Co-develop CI/CD best practices, automation, and pipelines with Infrastructure engineers for code deployments using GitHub Actions.
- Bring in automation from source-to-target mappings to data pipelines and data lineage in Collibra.
- Hands-on experience building pipelines with ADF, Snowflake, Databricks, and DBT Labs.
- Expertise in Azure Cloud with Databricks, Snowflake, and ADLS Gen2 integration.
- Data Warehousing and Lakehouse Knowledge: Proficient with ELT processes, *** Tables, and External Tables for structured/unstructured data.
- Experience with Databricks Unity Catalog and data sharing technologies.
- Strong skills in CI/CD (Azure DevOps, GitHub Actions) and version control (GitHub).
- Strong cross-functional collaboration and technical support experience for data scientists, report developers, and analysts.