Job Description

The Principal Data Engineer will lead the Data Engineering strategy and delivery across global projects and products. They will ensure the Data Engineering function works as one team, promote excellence and technical development, and adheres to key principles and processes. They will be responsible for standing up databases. One of the primary responsibilities of a Principal Data Engineer is to design and maintain a scalable and secure data architecture. They work closely with stakeholders to understand the organization's data needs and develop a robust architecture that can handle large volumes of data efficiently.

Job Functions and Responsibilities:

Collaborates with cross-functional teams to understand business requirements.

Analyzes enterprise data sources and determines the best methods for ingesting, transforming, and storing that data to make insightful business decisions.

Generates metrics, graphs, cards, and dashboards summarizing business, financial, and economic data.

Creates and reviews technical design documentation to ensure the accurate development of reporting solutions.

Participates in QA of software changes to prevent data errors.

Creates validation and exception alerts for various data conditions.

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 [email protected] .

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Skills and Requirements

BA/BS in Computer Science, Engineering, Mathematics or related field or equivalent experience or Data Science/Engineering Bootcamp certification

6+ years experience in a Data Engineering role requiring application of analytical skills

Experience working with visualization tools such as: PowerBI, Tableau or Domo

Needs to be extremely efficient with database architecture and standing up data warehousing and Data Lakes

Experience standing up, architecting and maintaining Snowflake databases

Proficiency with SQL , Data Warehousing, Data Architecture, Data Modeling, and Machine Learning

Need to be skilled at writing stored procedures using SQL and writing ETLs

Project management skills to coordinate projects across cross-functional teams, including business intelligence, engineering, marketing, product management, and finance.

Experience with cloud based architecture specifically within AWS but Azure/GCP is fine as well

Experience working with SQL, Oracle, Mysql, and Nosql Project experience with data integrations 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 [email protected].