Principal Data Engineer
Insight Global
We are seeking an expert in data modeling and reporting to optimize the analysis of customer data. In this role, you will focus on designing and enhancing reporting solutions using Databricks. You will be responsible for creating and managing data sets that integrate customer and product data, making it accessible for internal teams to query and analyze.
This position contributes to the enterprises success by contributing to enterprise data
services for analytic and operational data solutions focused on the Customer and
Product domains.
The candidate must demonstrate a proven track record in successfully
implementing the design and optimization of a high-performance data store, for
real-time, complex reporting on large-scale POS transactions, enabling dynamic,
multi-dimensional queries by customer and product.
This position is also responsible for contributing to the design and development of
data pipelines supporting the Customer data store.
We are looking for an expert-level candidate.
Key responsibilities include:
Designing and optimizing data models to support reporting on customer and product data
Building and maintaining datasets that include key customer information, such as rewards program participation, ordering preferences, store location preferences, and geographic data
Ensuring data accuracy, consistency, and accessibility for internal teams to leverage in their analysis and decision-making
Collaborating with cross-functional teams to ensure data is structured and presented in a way that supports business objectives
Work with data engineering and technical product manager teams to
develop the data model to support customer analytical and operational use
cases.
Translate complex business logic into streamlined data models to support a variety of data consumers.
Design data models to scale and be extensible
Work with data engineering team to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and sources.
Develop and maintain documentation relating to all assigned systems and projects
The ideal candidate will have strong expertise in Databricks and reporting, with the ability to work with complex data sets to deliver valuable insights for the organization.
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/ .
This position contributes to the enterprises success by contributing to enterprise data
services for analytic and operational data solutions focused on the Customer and
Product domains.
The candidate must demonstrate a proven track record in successfully
implementing the design and optimization of a high-performance data store, for
real-time, complex reporting on large-scale POS transactions, enabling dynamic,
multi-dimensional queries by customer and product.
This position is also responsible for contributing to the design and development of
data pipelines supporting the Customer data store.
We are looking for an expert-level candidate.
Key responsibilities include:
Designing and optimizing data models to support reporting on customer and product data
Building and maintaining datasets that include key customer information, such as rewards program participation, ordering preferences, store location preferences, and geographic data
Ensuring data accuracy, consistency, and accessibility for internal teams to leverage in their analysis and decision-making
Collaborating with cross-functional teams to ensure data is structured and presented in a way that supports business objectives
Work with data engineering and technical product manager teams to
develop the data model to support customer analytical and operational use
cases.
Translate complex business logic into streamlined data models to support a variety of data consumers.
Design data models to scale and be extensible
Work with data engineering team to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and sources.
Develop and maintain documentation relating to all assigned systems and projects
The ideal candidate will have strong expertise in Databricks and reporting, with the ability to work with complex data sets to deliver valuable insights for the organization.
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/ .
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