Infotree Global Solutions
1001 - 5000 employees
Founded 2002
đŻ Recruiter
đ„ HR Tech
đą Enterprise
Recruitment âą HR Tech âą Enterprise
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
Snowflake Architect
Job not on LinkedIn
đ January 31
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Infotree Global Solutions
1001 - 5000 employees
Founded 2002
đŻ Recruiter
đ„ HR Tech
đą Enterprise
Recruitment âą HR Tech âą Enterprise
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
đ Description
âą Act as a hands-on developer to build production-ready solution accelerators âą Implement pipelines aimed at reducing latency âą Provide a comprehensive set of assets, including the GitHub code, architecture diagram and technical documentation
đŻ Requirements
âą Deep expertise in leveraging the Snowflake platform âą Experience with Snowpipe Streaming âą Experience utilizing Snowpark Container Services âą Expertise in building front-end applications and dashboards using Streamlit âą Working knowledge of applying ML models âą Mastery of Time-Series functions and Geospatial analytics (nice to have)
đïž Benefits
âą Professional development opportunities
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