Insight Global
Senior Data Engineer
Insight Global, Sarasota, Florida, United States, 34243
Liaising with business teams to gather data requirements, build use case scenariosand help define the demand, scope for data development.Interface with analysts, strategists, architects, engineers, C-level executives andtechnologists to define solutions and collaborate closely with the data architectureand business intelligence practices to develop and implement them.Deliver value by problem-solving, improving data-intensive processes, and buildingconnections between systems.Collaborate with multiple business teams such as Marketing, Finance and Operationsbuilding data demand, data pipelines, middleware systems and technologysolution/SaaS vendors.Information and data modeling to build the DLAP for near-term and long term needs.Work with large volumes of customer/consumer behavior data to build workflowsthat improve and enrich raw data.Be a steward of the Wrench Group data to information to knowledge to wisdomprocess.Break down and communicate highly complex data problems into simple, feasiblehypotheses and solutions.Extract patterns from large datasets and transforming data into an informationalcompetitive advantage.Hands-on exploration of data sets via MS-Azure Databricks notebooks, SQL,dashboards, statistical analysis, data models and data visualizations
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Qualifications:Bachelors or Masters degree in Computer Science, Engineering, or a related field.5+ years of experience in data engineering or a related field, with a proven trackrecord of delivering high-quality data solutions.Data Visualization experience that helps gain business understanding of the dataconcepts.Skilled in reverse engineering, data structure, data classification, data analytics, andcreative experimental solutions to devise data and business intelligence solutions andworkflows.Business savvy and technology-smart data expert with the expert ability to translatecomplex data problems into digestible business solutions both verbally and visually.Familiar with data engineering, warehousing, modeling, and analysis focused in themarketing and digital marketing space with a key focus on combining first and third party data to optimize marketing spend.Experience building and deploying solutions that leverages data to improve internalbusiness processes and decision-making.Excellent analytical skills and the ability to make data-driven decisions.Outstanding communication and interpersonal skills, with an ability to influence andengage diverse stakeholders.Demonstrated ability to be a critical thinker from troubleshooting to resolution.Leadership experience with a collaborative approach to driving business results.Ability to work in a fast-paced environment and manage multiple projectssimultaneouslyAdvanced knowledge of database and data warehousing concepts, including data lakes, relational and dimensional database design concepts, and data modeling practices --- knows how to use inmon or Kimball on building data warehousing dimensional modeling (https://medium.com/@amarrjoshi/understanding-the-differences-between-inmon-kimball-and-data-vault-data-models-79868aa99525), building a data mart early on in their career, building a slowly changing dimensionDeep familiarity with Azure Databricks, including Unity Catalog, PythonCompensation rages from $140,000 to $160,000 annually.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Qualifications:Bachelors or Masters degree in Computer Science, Engineering, or a related field.5+ years of experience in data engineering or a related field, with a proven trackrecord of delivering high-quality data solutions.Data Visualization experience that helps gain business understanding of the dataconcepts.Skilled in reverse engineering, data structure, data classification, data analytics, andcreative experimental solutions to devise data and business intelligence solutions andworkflows.Business savvy and technology-smart data expert with the expert ability to translatecomplex data problems into digestible business solutions both verbally and visually.Familiar with data engineering, warehousing, modeling, and analysis focused in themarketing and digital marketing space with a key focus on combining first and third party data to optimize marketing spend.Experience building and deploying solutions that leverages data to improve internalbusiness processes and decision-making.Excellent analytical skills and the ability to make data-driven decisions.Outstanding communication and interpersonal skills, with an ability to influence andengage diverse stakeholders.Demonstrated ability to be a critical thinker from troubleshooting to resolution.Leadership experience with a collaborative approach to driving business results.Ability to work in a fast-paced environment and manage multiple projectssimultaneouslyAdvanced knowledge of database and data warehousing concepts, including data lakes, relational and dimensional database design concepts, and data modeling practices --- knows how to use inmon or Kimball on building data warehousing dimensional modeling (https://medium.com/@amarrjoshi/understanding-the-differences-between-inmon-kimball-and-data-vault-data-models-79868aa99525), building a data mart early on in their career, building a slowly changing dimensionDeep familiarity with Azure Databricks, including Unity Catalog, PythonCompensation rages from $140,000 to $160,000 annually.