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Sr. Snowflake Data Engineer
Sacramento, CA
Priority
Job
Global Soft Systems, Inc
($) :
$60k - $130k/year
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Role: Sr. Snowflake Data Engineer Location: Sacramento, CA Perform data engineering in support of a migration effort between client's legacy platform (in Microsoft) to Snowflake. Must have:
AWS
Glue as the ETL Tool
AWS
S3 Snowflake MQ: At least three (3) years of experience in developing and monitoring data pipelines, ETL/ELT (Extract Transform Load / Extract At least three (3) years of experience with Microsoft SQL Server and T-SQL. At least three (3) years of experience develop
Jul-04-25
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Enterprise Architect
Sunnyvale, CA
Priority
Job
Galaxy i Technologies, Inc
($) :
$60k - $130k/year
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Job Summary: We are seeking a strategic and hands-on Enterprise Architect to lead the design and implementation of enterprise-wide technology solutions aligned with our business goals. The ideal candidate will possess deep technical expertise across systems architecture, cloud platforms, integration, and emerging technologies, along with the ability to align IT strategies with business objectives. Key Responsibilities: • Define and maintain the enterprise architecture vision, strate
Jul-14-25
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Fullstack Software Engineer
Fremont, CA
Priority
Job
Intone Networks
($) :
$60K-140K/ Year
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Fullstack Software Engineer - 45717-1Location: Fremont, CA (2-3 days onsite) JD:We are seeking a skilled Fullstack Software Engineer with 10+ years of experience to join our dynamic team for an Automotive Commerce / Order to Delivery Software project.The ideal candidate will have expertise in Microservices, TypeScript, Junit, PostGre, Dynamo DB, NoSQL,
AWS
, React, and GoLang.BS in Computer Science or similar field10+ Years of Experience
Jun-19-25
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Technical Project Manager with AI/ML
Sunnyvale, CA
Priority
Job
Synkriom
($) :
60
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Send Profiles on : email: in in/gaurav-vaishnav-46719a294/ Key Responsibilities: Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery. Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability. Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification. Collaborate with data engineers, AI/ML scientists, analysts, and product teams to tra
Jun-27-25
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