Analytics Engineer
Tasks
- Apply AI ML NLP to improve analytics workflows
- Build Python based data analysis and automation
- Build data pipelines with dbt
- Collaborate with stakeholders to deliver analytics solutions
- Create Looker dashboards
- Create data visualizations and presentations
- Design data models
- Develop AI driven data insights
- Develop Snowflake data transformations
- Implement conversational analytics in Snowflake
- Implement data governance and quality controls
- Maintain LookML
- Schedule workflows with Airflow
- Use shell scripting for workflow automation
- Write and optimize advanced sql queries
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AISQL | AWS | Agile | Airflow | Apache Spark | B testing | CCPA | CI/CD | Cortex Agents | Cortex Analyst | Cortex Search | DBT | Data Governance | Data Modeling | Data Privacy | Data Quality | DataOps | Docker | ETL | GCP | GDPR | Generative AI | Git | Kafka | Kinesis | LookML | Looker | MLOps | Machine Learning | NLP | Normalization | NumPy | Pandas | Python | SQL | Slowly Changing Dimensions | Snowflake | Spark Streaming | Star Schema
Education
Roles
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