Design, build, and maintain data models foundational to the company’s internal and client-facing reporting and analytics.
Investigate bug root causes and implement fixes.
Design, build, and support a data warehouse for the company’s business.
Create and support various ELT scripts, jobs, and technologies.
Tune and optimize data storage technologies.
Review pull requests and test team member’s code and features.
Interact with data analysts and power users to define metrics to build data models.
Collaborate with team members to remove blockers and design new features.
Function as data expert to advise users on the usage of structured and unstructured data.
Support APIs, tools, and 3rd party products to extract data from Cloud/SaaS applications.

Requirements

Minimum of two (2) years of applicable work experience
Knowledge and experience with data warehousing architecture and data modeling best practices
Ability to build and optimize data sets and architectures Experience with cloud base data warehousing such as Snowflake
Ability to clean and transform data for use in analytics and reporting
Exposure to one or more EL tools and a solid understanding of pipelines; understanding of third-party data integration tools such as Fivetran, Stitch
Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
Expert knowledge of SQL
Experience with dbt
Excellent analytic skills associated with working on structured datasets
Care deeply about data quality and governance; able to document data and definitions
Experience with Github and CI/CD practices
Experience working in an Agile software development environment that is highly collaborative
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement
Able to prioritize, work independently in a less structured, remote work setting
Team player and receptive to giving and receiving feedback, with the ability to effectively collaborate with and communicate complex topics to an audience of diverse backgrounds and skills

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data modelingdata warehousingSQLdbtdata transformationdata architecturedata qualityroot cause analysisELTdata governance

analytical skillscollaborationcommunicationfeedback receptivenessindependenceprioritizationproblem-solvingteam playeradaptabilitydocumentation