Senior Data Engineer

Job Description Liaising with business teams to gather data requirements, build use case scenarios and help define the demand, scope for data development. Interface with analysts, strategists, architects, engineers, C-level executives and technologists to define solutions and collaborate closely with the data architecture and business intelligence practices to develop and implement them.

Deliver value by problem-solving, improving data-intensive processes, and building connections between systems. Collaborate with multiple business teams such as Marketing, Finance and Operations building data demand, data pipelines, middleware systems and technology solution/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 workflows that improve and enrich raw data. Be a steward of the Wrench Group data to information to knowledge to wisdom process. Break down and communicate highly complex data problems into simple, feasible hypotheses and solutions.

Extract patterns from large datasets and transforming data into an informational competitive 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 HRinsightglobal.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/ . Skills and Requirements 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 track record of delivering high-quality data solutions.

Data Visualization experience that helps gain business understanding of the data concepts. Skilled in reverse engineering, data structure, data classification, data analytics, and creative experimental solutions to devise data and business intelligence solutions and workflows. Business savvy and technology-smart data expert with the expert ability to translate complex data problems into digestible business solutions both verbally and visually.

Familiar with data engineering, warehousing, modeling, and analysis focused in the marketing 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 internal business 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 and engage 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 projects simultaneously Advanced 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 dimension Deep familiarity with Azure Databricks, including Unity Catalog, Python Compensation rages from $140,000 to $160,000 annually. null 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 employment opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HRinsightglobal.com.