Lead Data Transformation as a Senior Analytics Engineer
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Job Description
Take the lead in transforming analytics environments as a Senior Analytics Engineer. Spearhead the modernization of data architecture from legacy pipelines to innovative solutions using Databricks and dbt.
This senior position empowers you to redefine the analytics ecosystem, ensuring clean, well-modeled data products. Collaborate closely with business stakeholders while driving self-service analytics and optimizing data pipelines. Your strong background in data engineering, SQL, and cloud platforms will fuel this transformation.
Key Responsibilities:
- Redesign legacy data pipelines for modernization
- Partner with stakeholders to optimize data products
- Implement Databricks and dbt for new architecture
- Foster A/B testing and self-service analytics
- Maintain high standards of data quality and trust
Requirements
- Minimum 5 years in Analytics/Data Engineering
- Expertise in advanced SQL performance tuning
- Proficient in dbt for testing and documentation
- Familiar with cloud data platforms like Snowflake
- Successful history of analytics transformations
Drive innovation and enable data-driven strategies as you lead transformations in a modern analytics landscape.
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