Head of Data Science Engineering & Analytics
Tasks
- Build scalable data pipelines
- Build self-service analytics
- Define enterprise data strategy
- Deliver analytics solutions
- Develop data products
- Develop platform architecture
- Enable AI/ML use cases
- Enable single source of truth
- Establish data security and compliance practices
- Implement data governance frameworks
- Lead AI enablement roadmap
- Manage operational excellence frameworks
- Partner with business leaders to deliver insights
Perks/Benefits
- Community involvement support
- Employee well-being support
- Hybrid work environment
- In-person work option
- Remote work option
- Work-life balance
Skills/Tech-stack
AWS | AWS Firehose | AWS Kinesis | Alation | Apache Airflow | Apache Pulsar | Apache Spark | Atlan | CI/CD | Cost Optimization | DBT | Dagster | Data Governance | Data Management | Data Quality | DataOps | Databricks | DevOps | Faiss | Fivetran | Great Expectations | Kafka | LLM | MLOps | MLflow | Master Data | Master Data Management | MongoDB | Monte Carlo | Observability | Pinecone | SLAs | SLIs | Snowflake | Snowpipe | Stitch | Vector Databases
Education
N/A
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