Senior Data Engineer

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 HR@insightglobal.com .

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Required Skills & Experience

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.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.