- Perform the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team.
- Build data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies.
- Optimize Snowflake database performance, storage, and security.
- Provide guidance on Snowflake best practices.
- Ensure data quality, integrity, and governance across the organization.
- Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data platform
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- 3-5 years of dedicated experience engineering solutions in a Snowflake environment.
- Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques.
- Strong experience with cloud platforms (preference to Azure) and their data services.
- Proficiency in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran. * Hands-on experience with scripting languages like Python for data processing.
- Strong understanding of data governance, security, and compliance best practices.
- Snowflake SnowPro certification; preference to the engineering course path.
- Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
- Knowledge of streaming data processing frameworks such as
A US‑based healthcare services organization specializing in revenue cycle management, billing, and operational support. It partners with healthcare providers to improve financial performance and streamline end‑to‑end revenue processes.
Opportunity to work with a growing setup
Opportunity to work on latest tech stacks
Seeking an experienced Snowflake Data Engineer to join Data & Analytics team. This role involves designing, implementing, and optimizing Snowflake-based data solutions. The ideal candidate will have deep expertise in Snowflake, cloud data platforms, ETL/ELT processes, and Medallion data architecture best practices.
