Develop and maintain scalable data pipelines using
Snowflake Cloud Platform
, including procedures, functions, UDFs, and window functions.
Build modular SQL models, testing frameworks, and deployment workflows using
DBT
.
Write complex and optimized PL/SQL and SQL queries for transformations and analytics.
Work across cloud environments (Azure/AWS) using modern data management technologies.
Design and implement ETL/ELT processes supporting enterprise data initiatives.
Provide
production support
for data warehousing platforms and troubleshoot issues.
Work within Agile teams to deliver high-quality data solutions aligned with business needs.
Utilize
Git / Azure DevOps
for source control, CI/CD, and collaboration.
Support IT automation, batch scheduling, and DevOps-driven processes.
Collaborate with cross-functional teams to support data-driven business objectives.
Mentor junior engineers and promote best practices within the team.
Stay up to date with Snowflake features, enhancements, and best practices.