| Job Opening for Data Engineer at Seattle, Washington, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2059679&uid= Hi, Greetings from Galent!!! Hope you are doing well. Please find the below Job details and if you are interested, please reply with an updated resume. Job Title: Data Engineer Location: Seattle, WA (Hybrid) Job Type: Contract YOE- 10 years Need candidates from Washington state only. Job Description: Skill : Adf, Snowflake, Data Warehousing 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. Thanks & Regards, Satish Kumar | Senior Technical Recruiter Email: [email protected] https: linkedin.com/in/satish-kumar-4466a2239 About Galent: Galent is an AI-native digital engineering firm delivering enterprise-ready AI solutions. Through consulting, AI-native services, and digital engineering, we help organizations unlock the full potential of AI and drive next-generation digital transformation. For more information about Galent and our suite of AI solutions, visit www.galent.com. Keywords: continuous integration continuous deployment artificial intelligence Colorado Washington Job Opening for Data Engineer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2059679&uid= |
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| 03:01 AM 08-Jan-25 |