Data and analytics engineer building semantic models, pipelines, and AI - ready infrastructure. Supporting SH/FT’s consultancy work for enterprise marketing and technology clients.
About the role
- Senior Analytics Developer at SOCi developing data pipelines and analytic products for AI-powered marketing solutions. Collaborating with teams to ensure data quality and business insights.
Responsibilities
- Own the relationship with one or more business team stakeholders for the data team.
- Collaborate with business teams to identify, document and develop analytic solutions.
- Collaborate with data analysts, engineers and other stakeholders on data lake models.
- Develop and maintain data pipelines collecting data from various source systems.
- Develop and maintain data model transformations for use in analytic models.
- Ensure data accuracy, quality and consistency with monitoring and validation processes.
- Maintain our data catalog, and document data pipelines, transformations and models.
- Monitor, and respond to production incidents in the data lake.
- Optimize queries, and data engineering activities for performance and cost.
- Assist in implementing data governance and security best practices.
- Document processes, workflows, and data definitions to support knowledge sharing.
- Guide user story breakdown sessions, and contribute to quarterly planning sessions.
- Provide mentorship and coaching to junior Analytics Developers.
- Be willing to adapt to changes in the job description as necessary by the business and accept all other duties as assigned.
Requirements
- 5+ years of experience working with cloud based data platforms (Airflow, FiveTran, Stitch, etc.)
- Expert-level proficiency in SQL and hands-on experience with cloud-based data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
- Proficiency and working experience in Python.
- Proficiency building transformations and data models using declarative programming (dbt, Snowflake Dynamic Tables, SQLMesh).
- Strong knowledge of data modeling, schema design, and data governance principles.
- Experience with “Data Hub” or equivalent open source data catalog platform is a plus.
- Demonstrated experience optimizing performance and managing complex datasets.
- Excellent leadership and communication skills, with a proven ability to mentor and guide team members.
Benefits
- Health insurance plans, dental, and vision
- Wellness incentives
- 401(k) plan with employer match
- Flexible paid time off
- Quarterly wellness days
- Paid holidays
- Unique employee engagement programs
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