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 cloud-native 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, semi-structured (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.