Tech Tammina
Data Engineer
Tech Tammina, Chicago, Illinois, United States, 60290
Role: Data Engineer
Onsite Location: Alpharetta, GA , Armonk, NY, Boston, MA , Chicago, IL, Fort Wayne, IN, Kansas City, MO, Miami, FL, New York, NY, Schaumburg, IL, Windsor, CT, Washington, DC - Make sure, It's a Day 1 Onsite Role. right now, requirement is 2 to 3 days on site per week. This may increase if company policy changes!
Rate: Market
Duration: This is 6 Month C2H Role
Must Skills: Palantir Foundry and Employer Stop Loss Insurance
Role Description
Looking for a data engineer to design, develop and maintain pipelines and workflows and create analytics to digitally transform the current NA Accident and Health reporting and business decision processes.
Responsibilities
Development and support of data pipelines that produce data assets for various A&H workstreams including UW, UA, Actuarial, ClaimsHandle data pipelines while testing for data curation, parsing, cleaning, transformation and enrichment of dataWork with fundamentals of data processing, data pipeline, data lineage and ETL (Extract-Transform-Load) methodologiesImplement the project according to the Software Development Life Cycle (SDLC) and programming by using fast paced agile methodology, involving task completion, user storiesUtilize knowledge of database management system software, object oriented programming development, system architecture and components and various programming languagesReview and analyze business workflows and user data needsDesign and implement business performance dashboardsWrite customized queries/programs to generate automatic periodical reports highlighting all the Key Performance Indicators (KPIs)Build applications using SQL and/or Python scripts to manipulate data, monitor and help to improve data qualityDesign, build and maintain end-to-end data solutions supporting our processes with the right data architectureHave working knowledge of Apache Spark, big data processing and building products on distributed cluster-computing frameworkConstruct workflow charts and diagrams and writing specifications.Documentation of end-to-end data pipeline process.Documentation of data assets for information management purposes.Ad hoc team / business support as needed.Exploration and evaluation of new technologies and platforms.Requirements:
Bachelor's or equivalent degree Computer Science, Data Science, Statistics or another relevant quantitative field5+ years as a data engineerSound Python and SQL skills with ability to query and analyze data, understand complexity and data structuresExperience with data and analytics technology, including but not limited to Hadoop, Spark, Java, Python, R, Elasticsearch, and others.Familiarity with relational database conceptsDetail-oriented, analytical, and inquisitiveGood communication skillsHighly organized with strong time-management skillsAbility to work independently and collaborate well with others.Ability to affect smooth organizational transformations.
Onsite Location: Alpharetta, GA , Armonk, NY, Boston, MA , Chicago, IL, Fort Wayne, IN, Kansas City, MO, Miami, FL, New York, NY, Schaumburg, IL, Windsor, CT, Washington, DC - Make sure, It's a Day 1 Onsite Role. right now, requirement is 2 to 3 days on site per week. This may increase if company policy changes!
Rate: Market
Duration: This is 6 Month C2H Role
Must Skills: Palantir Foundry and Employer Stop Loss Insurance
Role Description
Looking for a data engineer to design, develop and maintain pipelines and workflows and create analytics to digitally transform the current NA Accident and Health reporting and business decision processes.
Responsibilities
Development and support of data pipelines that produce data assets for various A&H workstreams including UW, UA, Actuarial, ClaimsHandle data pipelines while testing for data curation, parsing, cleaning, transformation and enrichment of dataWork with fundamentals of data processing, data pipeline, data lineage and ETL (Extract-Transform-Load) methodologiesImplement the project according to the Software Development Life Cycle (SDLC) and programming by using fast paced agile methodology, involving task completion, user storiesUtilize knowledge of database management system software, object oriented programming development, system architecture and components and various programming languagesReview and analyze business workflows and user data needsDesign and implement business performance dashboardsWrite customized queries/programs to generate automatic periodical reports highlighting all the Key Performance Indicators (KPIs)Build applications using SQL and/or Python scripts to manipulate data, monitor and help to improve data qualityDesign, build and maintain end-to-end data solutions supporting our processes with the right data architectureHave working knowledge of Apache Spark, big data processing and building products on distributed cluster-computing frameworkConstruct workflow charts and diagrams and writing specifications.Documentation of end-to-end data pipeline process.Documentation of data assets for information management purposes.Ad hoc team / business support as needed.Exploration and evaluation of new technologies and platforms.Requirements:
Bachelor's or equivalent degree Computer Science, Data Science, Statistics or another relevant quantitative field5+ years as a data engineerSound Python and SQL skills with ability to query and analyze data, understand complexity and data structuresExperience with data and analytics technology, including but not limited to Hadoop, Spark, Java, Python, R, Elasticsearch, and others.Familiarity with relational database conceptsDetail-oriented, analytical, and inquisitiveGood communication skillsHighly organized with strong time-management skillsAbility to work independently and collaborate well with others.Ability to affect smooth organizational transformations.