Senior Data Engineer- Snowflake - USC/GC (federal client)
β’ *********USC or GC due to Federal and Clearance requirement
Overview
Oran Inc. is seeking a Senior Snowflake Data Engineer to support a federal data modernization initiative. This role focuses on migrating legacy SAS ETL processes into a Snowflake ELT architecture on AWS. You will collaborate with senior engineers to develop ingestion frameworks, ensure data quality, and support production environments.
Key Responsibilities
Snowflake Development
β’ Develop and maintain tables (RAW, TARGET), views, stored procedures, tasks, and streams
β’ Implement COPY INTO for file ingestion
β’ Support incremental and historical data loads
β’ Assist with schema validation and evolution
AWS & Data Integration
β’ Work with Amazon S3 for data ingestion and storage
β’ Understand IAM role basics
β’ Support file processing (CSV, pipe-delimited, fixed-width, GZIP/ZIP)
Data Engineering & ELT
β’ Load and transform data across Bronze (RAW), Silver, and Gold layers
β’ Perform data validation (row counts, duplicates, schema checks)
β’ Support metadata tracking and run documentation
Data Quality & Support
β’ Reconcile Snowflake outputs against legacy SAS datasets
β’ Troubleshoot data discrepancies and load failures
DevOps & Deployment
β’ Use Azure DevOps Git for version control
β’ Support deployments across DEV, STG, and PROD
β’ Follow structured branching and folder standards
Required Qualifications
β’ 1β3 years of data engineering or ETL experience
β’ Strong SQL skills (joins, aggregations, window functions)
β’ Experience with Snowflake or similar cloud data warehouse
β’ Experience with AWS S3
β’ Understanding of incremental load concepts and relational modeling
Preferred
β’ Experience migrating legacy ETL (SAS, Informatica)
β’ Snowflake Tasks, Streams, and Stored Procedures
β’ AWS Glue familiarity
β’ Exposure to CI/CD and data quality frameworks
Apply Now
Apply Now
Overview
Oran Inc. is seeking a Senior Snowflake Data Engineer to support a federal data modernization initiative. This role focuses on migrating legacy SAS ETL processes into a Snowflake ELT architecture on AWS. You will collaborate with senior engineers to develop ingestion frameworks, ensure data quality, and support production environments.
Key Responsibilities
Snowflake Development
β’ Develop and maintain tables (RAW, TARGET), views, stored procedures, tasks, and streams
β’ Implement COPY INTO for file ingestion
β’ Support incremental and historical data loads
β’ Assist with schema validation and evolution
AWS & Data Integration
β’ Work with Amazon S3 for data ingestion and storage
β’ Understand IAM role basics
β’ Support file processing (CSV, pipe-delimited, fixed-width, GZIP/ZIP)
Data Engineering & ELT
β’ Load and transform data across Bronze (RAW), Silver, and Gold layers
β’ Perform data validation (row counts, duplicates, schema checks)
β’ Support metadata tracking and run documentation
Data Quality & Support
β’ Reconcile Snowflake outputs against legacy SAS datasets
β’ Troubleshoot data discrepancies and load failures
DevOps & Deployment
β’ Use Azure DevOps Git for version control
β’ Support deployments across DEV, STG, and PROD
β’ Follow structured branching and folder standards
Required Qualifications
β’ 1β3 years of data engineering or ETL experience
β’ Strong SQL skills (joins, aggregations, window functions)
β’ Experience with Snowflake or similar cloud data warehouse
β’ Experience with AWS S3
β’ Understanding of incremental load concepts and relational modeling
Preferred
β’ Experience migrating legacy ETL (SAS, Informatica)
β’ Snowflake Tasks, Streams, and Stored Procedures
β’ AWS Glue familiarity
β’ Exposure to CI/CD and data quality frameworks
Apply Now
Apply Now