Key skills
PythonSQLELTData WarehousingAnalyticsTableauSnowflakeAirflowdbtFivetranAWSTerraformGitHub ActionsGitHubVersion ControlSDLC
About this role
DataDrive is a fast-growing managed analytics service provider that focuses on building strong data cultures and platforms for data-driven organizations. The Analytics Engineer will be responsible for building and maintaining data pipelines, transforming raw data into reliable models, and developing Tableau dashboards to provide insights to clients.
Responsibilities:
- Monitor, optimize, and integrate batch data pipelines into Snowflake using ELT tools (Fivetran, Airbyte) and custom Python integrations to databases and APIs
- Build and maintain dbt projects that transform source data into clean, testing reporting models
- Develop Airflow orchestration pipelines connecting data ingestion, Snowflake, dbt, and Tableau
- Design and implement DataOps practices using Github Actions, dbt testing, and data observability tooling
- Build and maintain Tableau dashboards and published data sources as a core part of client delivery, following internal design standards
- Set up optimized, easy-to-use data sources in Tableau that enable self-service analytics for clients
- Collaborate with clients to translate business questions into effective visualizations
- Identify opportunities to improve our managed analytics platform and build the automation to make it happen
- Stay current on the evolving cloud data and analytics ecosystem
- Commit to strong SDLC practices include version control, code review, and documentation
Requirements:
- 3+ years of professional experience in building cloud data pipelines and data warehousing within a cloud data warehouse (ideally Snowflake)
- High proficiency and experience working with SQL and Python
- Working experience with dbt and Airflow (or similar tooling)
- Experience designing data models to support reporting and business outcomes
- 1+ year of hands-on Tableau development (dashboard building, data source configuration, permissioning)
- Experience with Fivetran, Terraform, or Github Actions
- Familiarity with AWS services
- Background in consulting or client-facing analytics delivery
- Comfort with ambiguity and shifting priorities in a small-company environment