Summary
Confidential company is seeking a Snowflake Data Engineer to support cloud-based data engineering and modernization initiatives. The role focuses on building data pipelines, managing migrations, developing database solutions, supporting analytics, and ensuring data quality, security, performance, and reliable deployment processes.
Responsibilities
- Design, develop, and optimize data pipelines using Snowflake native capabilities
- Build and maintain ETL/ELT processes for data ingestion, transformation, and integration
- Support data migration initiatives from legacy systems to cloud-based platforms
- Develop and maintain database solutions using Microsoft SQL Server and SSIS
- Collaborate with business and technical teams to gather requirements and deliver high-quality data solutions
- Support reporting and analytics initiatives through integration with BI tools
- Implement and maintain CI/CD processes for code deployment and release management
- Ensure data quality, performance optimization, security, and documentation of data solutions
Skills
- Strong hands-on expertise in Snowflake and cloud-based data engineering solutions
- Experience designing, developing, and supporting scalable data pipelines and analytics solutions
- Solid understanding of data warehousing, ETL/ELT frameworks, and data integration best practices
- Experience with Microsoft SQL Server and SSIS package development
- Proven experience with data migration projects and modernization initiatives
- Hands-on experience with BI and analytics tools, including Tableau, Power BI, and Alteryx
- Strong AWS experience: S3 bucket management, AWS Glue, AWS DMS, AWS Lambda
- Experience with CI/CD pipelines and DevOps deployment practices
- Strong SQL development, troubleshooting, and performance tuning skills
- Excellent analytical and problem-solving capabilities
- Exceptional verbal and written communication skills
- Snowflake, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, Data Migration, Data Warehousing, CI/CD, Cloud Data Engineering
- AI Awareness & Solutions: Intermediate
- Analysis Data Sources: Intermediate
- Communication: Advanced
- Cortex: Intermediate
- Python: Intermediate
- Undergraduate degree
Qualifications
Must Haves
- Strong hands-on expertise in Snowflake and cloud-based data engineering solutions
- Experience designing, developing, and supporting scalable data pipelines and analytics solutions
- Solid understanding of data warehousing, ETL/ELT frameworks, and data integration best practices
- Experience with Microsoft SQL Server and SSIS package development
- Proven experience with data migration projects and modernization initiatives
- Hands-on experience with BI and analytics tools, including Tableau, Power BI, and Alteryx
- Strong AWS experience: S3 bucket management, AWS Glue, AWS DMS, AWS Lambda
- Experience with CI/CD pipelines and DevOps deployment practices
- Strong SQL development, troubleshooting, and performance tuning skills
- Excellent analytical and problem-solving capabilities
- Exceptional verbal and written communication skills
- Snowflake, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, Data Migration, Data Warehousing, CI/CD, Cloud Data Engineering
- AI Awareness & Solutions: Intermediate
- Analysis Data Sources: Intermediate
- Communication: Advanced
- Cortex: Intermediate
- Python: Intermediate
- Undergraduate degree
Benefits