Data Engineer

1 week ago

Boise, Idaho, United States Scentsy, Inc. Full time
Job Title: Applied Data Engineer

Scentsy, Inc. is seeking a highly skilled Applied Data Engineer to join our team. As a key member of our data analytics ecosystem, you will be responsible for providing innovative modernization and ensuring the availability, reliability, and performance of our data infrastructure.

Key Responsibilities:
  • Assemble large, complex data sets that meet non-functional and functional business requirements.
  • Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies.
  • Develop analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition.
  • Collaborate with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs while assisting with data-related technical issues.
  • Work with architects to design, implement, and support Scentsy's data lake.
  • Translate analytical program models, including scripting, error handling, and documentation.
  • Evaluate new technologies for data and technology modernization within Scentsy's data ecosystem.
  • Lead data-related projects and initiatives, and coach and mentor less experienced engineers.
Requirements:
  • Graduate and/or bachelor's degree in Information Systems, Informatics, Statistics, Computer Science, or another quantitative field.
  • 5 years of data engineering experience.
  • Ability to build and optimize data sets, data pipelines, and architectures.
  • Excellent analytical skills associated with working on unstructured datasets.
  • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.
  • Experience in data access and delivery technologies, including familiarity with data quality assessment, data organization, metadata, and data profiling.
  • Ability to take complex, ambiguous problems, break them down into smaller parts, and problem solve to come up with a whole, integrated, and strategic solution.
  • Demonstrated understanding and experience using software and tools, including relational NoSQL and SQL databases, including SQL Server and Postgres.
  • Hands-on experience with AWS Services, such as Cloud Formation, S3, Glue, Lambda, Event Bridge, SNS/SQS, and others.
  • Demonstrated ability to self-learn and lead teams into new technologies and engineering methods.
  • Demonstrated ability to solve technical problems relevant to data engineering using programming languages (SQL and Python).
  • Demonstrated ability to solution with AWS services and provision infrastructure from code/template.
  • Excellent data manipulation and analysis skills.
  • Excellent skills in SQL, data modeling, data warehousing, data lake, and OLAP.
  • Excellent written and oral communication skills.
  • Experience with Bitbucket and TeamCity, a plus.
  • Experience with Redgate Flyway, a plus.
  • Familiarity with Agile Framework.

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