Job Details:
Snowflake Development & Optimization:
- Design and develop data models schemas and optimized queries in Snowflake.
- Implement performance tuning strategies (clustering caching partitioning) to enhance query performance.
- Manage Snowflake roles access controls and security policies to ensure data governance.
Cloud Data Engineering:
- Deploy and manage Snowflake on cloud platforms (AWS Azure or GCP).
- Integrate Snowflake with cloud storage (S3 ADLS GCS) and cloud data services.
- Automate data ingestion transformation and processing using cloudnative tools.
ETL/ELT & Pipeline Development:
- Build and maintain ETL/ELT data pipelines using tools like dbt Matillion Airflow or Azure Data Factory.
- Ensure data quality lineage and integrity throughout the pipeline.
- Work with structured semistructured (JSON Parquet Avro) and unstructured data.
Security & Compliance:
- Implement data encryption masking and access control policies in Snowflake.
- Ensure compliance with GDPR HIPAA or industry security standards.
- Monitor data usage and optimize storage and compute costs.
Collaboration & Agile Development:
- Work closely with data engineers analysts and business teams to define data solutions.
- Participate in agile development sprint planning and technical discussions.
- Document best practices architectural decisions and data governance policies.