Job description:
job title: data engineerlocation: san francisco fully remoteduration: 4 months contract + possible of extensionjob description: the data science foundations team is looking for an experienced data engineer contractor to help establish a unified data model that will support our analytics initiatives and build scalable infrastructure for data teams.responsibilities: data modeling: build and refactor data marts automate the enforcement of best practices and design principles where possible data pipeline development and optimization: develop new data pipelines and etl processes and enhance the efficiency of existing ones to reduce cost and improve landing times and slas. transition data pipelines to dbt and create features that allow data scientists to utilize the platform. build scalable systems: build systems to automate monitoring and alerting for data anomalies build internal data products to automate workflows and reduce manual workexperience: knowledge of structured data base systems and data modeling principles experience writing and optimizing complex sql queries. (snowflake preferred) familiarity with data visualization tools (superset, looker preferred) experienced in object-oriented programming (python) experience working with orchestration systems (airflow preferred) experience working with github data governance experience preferred but not requiredskills: knowledge of structured data base systems and data modeling principles experience writing and optimizing complex sql queries. (snowflake preferred) familiarity with data visualization tools (superset, looker preferred) experienced in object-oriented programming (python) experience working with orchestration systems (airflow preferred) experience working with github data governance experience preferred but not requirededucation: bachelor's degree.about us tech solutions:us tech solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. to know more about us tech solutions, please visit recruiter details: name: yamsani saiprakashemail: reference id: 23-25759

Resume:
<<qualifications over two years' experience of data analysis at loyola chicago university; providing statistical analysis plan and generating report, tables, graphs; proficient in r and sas. proficient in microsoft office, word, excel and power point. ability to effectively organize and manage multiple assignments with hard deadlines. great team player and extensive experience and skills in collaboration and communication. professional experience 09/2016tocurrentdata analyst internenvestnet , merge spreadsheets from different sources to create a more compact and centralized data platform for easy updating and data analysis using ms excel advanced functions and formulas. data cleaning and data validation of existing spreadsheets to promote a robust data management platform for accurate data entry and data analysis. train employees on the use of pivot tables and tips and tricks in ms excel for efficient data entry and analysis. 07/2013to 04/2014research assistantsuny upstate medical university ,supervisor: drs. michael crum and david rayome paper: self-employment and subjective well-being: a multi-country analysis using the world values survey. international journal of entrepreneurship (published in 2014) statistical analysis of elements influencing self-employment and life happiness using r studio literature research on topics of self-employment and satisfaction 04/2012to 07/2012accounting internshipamica mutual insurance park ridge. provide data management for accounting journals using government-secured software prepare written report of asset inspection and sorted the documents 04/2011to 07/2011finance internshipsiemens corporation wichita. sales consultant for financial products and services education expected in2016totomaster of science applied statisticsloyola chicago university,chicago,ilgpa:expected in2013totobachelor of science finance and risk managementnorthern michigan university,marquette,migpa: skills computer software: ms word, powerpoint, excel, access statisticalsoftware: r studio, sas, minitab, sqllanguage: mandarin and english.