Data Engineer - Snowflake and Databricks

Data Engineer - Snowflake and Databricks

Join to apply for the Data Engineer - Snowflake and Databricks role at Expedite Technology Solutions LLC

Data Engineer - Snowflake and Databricks

Join to apply for the Data Engineer - Snowflake and Databricks role at Expedite Technology Solutions LLC

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Responsibilities
" Develop, optimize, and maintain data pipelines using Azure Data Factory (ADF), DBT Labs, Snowflake, and Databricks.

Primary Skill
" DBT Labs
" Snowflake
Secondary Skill
" 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.
Required Experience
" 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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