Tekwissen
Data Engineer
Tekwissen, Seattle, Washington, us, 98127
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer
Location: Seattle WA
Duration: 11 Months
Job Type: Contract
Work Type: Hybrid
Job Description:
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: DHS, 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. Skills:
Adf,Snowflake,Data Warehousing
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer
Location: Seattle WA
Duration: 11 Months
Job Type: Contract
Work Type: Hybrid
Job Description:
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: DHS, 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. Skills:
Adf,Snowflake,Data Warehousing
TekWissen® Group is an equal opportunity employer supporting workforce diversity.