TheHiveCareersData Engineer -
Data Engineer - - thehivecareers.co | Career Page (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-WNGRBS6'); .primary-color { color: #1976d2; } .bg-primary-color { background-color: #1976d2; } .btn-info, .btn-info:hover { background-color: #1976d2; } .btn-apply, .btn-apply:hover { background-color: #1976d2 !important; border-color: #1976d2 !important; } .search-form { width: fit-content; margin: 0px auto 20px; padding: 10px; width: 60%; } .select2-container { width: 100% !important; } .search-dropdown-options { position: absolute; margin: 5px -12px; width: calc(100% - 17px); border: 1px solid #cacaca; border-top: 0px; z-index: 1; background: #fff; max-height: 200px; overflow: auto; border-radius: 0px 0px 6px 6px; } .search-dropdown-options li { cursor: pointer; } .search-dropdown-options ul li:hover { background-color: #5897fb; color: white; } .search-dropdown-options label { width: calc(100% - 22px); font-size: 14px; } .search-dropdown-placeholder { font-size: 14px; margin: 3px; cursor: pointer; } .select2-container--default .select2-selection--single { height: 38px !important; } .select2-container--default .select2-selection--single { height: 38px !important; border: 1px solid #ced4da !important; } .select2-selection__arrow { height: 36px !important; } .select2-results__option { font-size: 14px; } .select2-selection__rendered { line-height: 38px !important; font-size: 14px; color: #969696; } .width-100 { width: 100%; } ::-webkit-input-placeholder { /* Chrome/Opera/Safari */ font-size: 14px; color: #969696; } ::-moz-placeholder { /* Firefox 19+ */ font-size: 14px; color: #969696; } :-ms-input-placeholder { /* IE 10+ */ font-size: 14px; color: #969696; } :-moz-placeholder { /* Firefox 18- */ font-size: 14px; color: #969696; } @media (max-width: 575px) { .search-form { width: 100%; } .display-4{ font-size: 2.5rem; } } .positions { font-size: 16px; color: #808080; } .serach_count { padding: 4px; } .empty-result { color: #808080; } .fa-chevron-right { padding: 0px 8px; }
Data Engineer -
Remote, Oregon, United States
Apply for Position Or refer someone
Job Openings Data Engineer -
About the job Data Engineer -
The data engineer designs and develops data models, collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability and other relevant factors. He / She also captures, transforms and stores clean data, leaving it ready for consumption.
This role will be integral in ensuring the quality of the data collected, and the ability to leverage that data to create meaningful information for technical performance and strategic business decision making. It will provide the data insights and trends needed to evolve the product based on user behaviours and data trends.
RESPONSIBILITIES AND DUTIES
Ensure data requirements and delivery of robust and complete roadmap
Assess data to determine strategic approach to data management and identify data dictionary
Identify data security requirements and assess risk to determine security features
Assess computational power required derived from data and analytics technology
Estimate milestones, resources and costs
Produce data via SQL and other programming tools
Develop reports and dashboards
Design and develop data and information structures
Capture data and modify programs to extract information from company databases
Engage with data scientists and translators to understand how data should be presented
Improve data availability, acting as the link between the IT and analytics team
KNOWLEDGE AND SKILLS
SQL knowledge
Deep knowledge of machine learning, statistics and optimization
Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
Experience in database development and data model design
QUALIFICATIONS AND EXPERIENCE
BS/BA (preferred MS) degree preferably in computer science, statistics, mathematics or equivalent mix of education and experience
5+ years of experience in analyzing and preparing data, including considerable experience with very large data sets and unstructured data
Strong experience in database development and model design
Experience with R, Python, Matlab, C programming, C++, Java, Hadoop, Hive, Map reduces, Teradata, QSTK
DESIRED ATTRIBUTES AND BEHAVIOURAL COMPETENCIES
Strong business and collaboration skills
Skills to respond to service needs and operational demands
Problem solving skills
Attitude to thrive in a fun, fast rhythm of getting started as an environment
Able to build a sense of trust and rapport that creates a comfortable and effective workplace
SPECIAL CONDITIONS
Regularly work extended and irregular hours.
Pressure/stress from the need to meet tight deadlines
FUNCTIONAL RELATIONSHIPS
External:
Internal: Business leads
PERFORMANCE CRITERIA
Timely delivery of agreed daily, weekly and monthly KPIs
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The data engineer designs and develops data models, collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability and other relevant factors. He / She also captures, transforms and stores clean data, leaving it ready for consumption.
\n\nThis role will be integral in ensuring the quality of the data collected, and the ability to leverage that data to create meaningful information for technical performance and strategic business decision making. It will provide the data insights and trends needed to evolve the product based on user behaviours and data trends.
\n\nRESPONSIBILITIES AND DUTIES
\nEnsure data requirements and delivery of robust and complete roadmap
\nAssess data to determine strategic approach to data management and identify data dictionary
\nIdentify data security requirements and assess risk to determine security features
\nAssess computational power required derived from data and analytics technology
\nEstimate milestones, resources and costs
\nProduce data via SQL and other programming tools
\nDevelop reports and dashboards
\nDesign and develop data and information structures
\nCapture data and modify programs to extract information from company databases
\nEngage with data scientists and translators to understand how data should be presented
\nImprove data availability, acting as the link between the IT and analytics team
\nKNOWLEDGE AND SKILLS
\nSQL knowledge
\nDeep knowledge of machine learning, statistics and optimization
\nAdvanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
\nExperience in database development and data model design
\n\nQUALIFICATIONS AND EXPERIENCE
\nBS/BA (preferred MS) degree preferably in computer science, statistics, mathematics or equivalent mix of education and experience
\n5+ years of experience in analyzing and preparing data, including considerable experience with very large data sets and unstructured data
\nStrong experience in database development and model design
\nExperience with R, Python, Matlab, C programming, C++, Java, Hadoop, Hive, Map reduces, Teradata, QSTK
\n\nDESIRED ATTRIBUTES AND BEHAVIOURAL COMPETENCIES
\nStrong business and collaboration skills
\nSkills to respond to service needs and operational demands
\nProblem solving skills
\nAttitude to thrive in a fun, fast rhythm of getting started as an environment
\nAble to build a sense of trust and rapport that creates a comfortable and effective workplace
\n\nSPECIAL CONDITIONS
\nRegularly work extended and irregular hours.
\nPressure/stress from the need to meet tight deadlines
\n\n\nFUNCTIONAL RELATIONSHIPS
\nExternal:
\nInternal: Business leads
\n\nPERFORMANCE CRITERIA
\nTimely delivery of agreed daily, weekly and monthly KPIs
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