Design and implement end-to-end data integration and warehousing solutions for large volumes. Implement Hadoop/Hive data movement, script in Linux shell and Python, develop SQL for integration and analysis, and perform high-volume DW performance tuning. Vertica experience is a plus. Requires technical independence and a BS in CS/EE.
Company Description
Job Description
Job Description
Required Skills:
• At least 8 years of experience in end to end data integration/data warehousing implementations and at project experience with large data volumes.
• Hands-on Hadoop / Hive implementation / data movement experience
• Scripting in the following languages: Linux shell and Python
• Strong SQL development experience to support data integration and analysis
• Strong hands-on, high volume, performance tuning DW experience
• Vertica experience a plus
• Self-sufficient in extremely technical, high pace and exploratory environment
• B.S. degree in CS / EE. Higher level degree is a plus
Location: San Francisco, CA
Duration: 6+ Months
Apply today!
Similar Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Administer and enhance Salesforce for VIP teams by configuring flows, reports, dashboards, access, and data management. Gather stakeholder requirements, troubleshoot user issues, support adoption, and collaborate with development, analytics, and data engineering teams on integrations and technical solutions. Query and validate data using SQL and Snowflake, test system enhancements, and identify process improvements while maintaining Salesforce data accuracy and integrity.
Top Skills:
ApexExcelGoogle SheetsSalesforceSalesforce Flow BuilderSnowflakeSQL
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads safety, strategy, financial performance, governance, operations, customer relationships, and service delivery across a defined geographic or business area. Oversees project teams, budgets, cost-efficiency initiatives, compliance, execution quality, performance reviews, coaching, customer escalations, and adjacent sales opportunities. Requires extensive project management and leadership experience with financial responsibility, strong stakeholder management skills, and regional travel as needed.
.png){kind=logo}
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Lead AI-powered reporting and insights strategy, design reporting data architecture and pipelines, and implement LLM-powered workflows (RAG, prompt engineering, agentic pipelines). Integrate BI tools and enterprise AI platforms, establish governance for AI outputs, and provide technical leadership to deliver trusted executive insights and scalable self-service reporting.
Top Skills:
AnthropicAws BedrockAzure OpenaiDatabricksDelta LakeFlinkGoogle Vertex AiIcebergLangchainLlamaindexLlmLookerPythonRagSnowflakeSparkSQLTableau
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
