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Tech Stack
Tools & technologiesAirflowAWSCloudGoogle Cloud PlatformPythonSQLTableauTerraform
About the role
Key responsibilities & impact- We are looking for a Lead Analytics Engineer to join our data team.
- Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
- You will provide clean and organized data sets to end users.
- You will be provide expert code reviews and mentorship to other engineers in the data space
- You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
- You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
- You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.
Requirements
What you’ll need- 8+ Years experience working with data in a software environment.
- Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with dbt orchestration and best practices.
- You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
- Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
- Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.
Benefits
Comp & perks- Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata integrity testing frameworksdbtdata modelingdata transformationdata visualizationdata analysisperformance optimizationdata engineering best practices
Soft Skills
mentorshipautonomyproactivitystakeholder collaborationcommunication
