Lead the implementation of Snowflake solutions
Build scalable and maintainable ETL/ELT pipelines
Design and implement robust data integration pipelines
Lead efforts in migrating legacy data systems to a modern cloud-based stack
Own the end-to-end data lifecycle
Collaborate with product, data science, and analytics teams
Create and manage reports and dashboards using Power BI
Drive performance tuning, cost optimization, and security enforcement within the Snowflake platform
Utilize SQL and Python for ETL, data manipulation, analysis, and process automation

Requirements

8+ years of experience in data engineering, data warehousing, or cloud data architecture
3+ years of hands-on experience with Snowflake
Advanced proficiency in SQL and data modeling (star, snowflake, 3NF, and/or Data Vault)
Proven experience building ETL/ELT Orchestration tools like Azure Data Factory, Airflow / Dagster, Airbyte and dbt
Understanding and hands on experience in enabling data privacy, governance, and compliance frameworks (HIPAA, GDPR, etc.)
Expertise in setting up CI/CD pipelines and DevOps for data projects
5+ years of experience with Power BI for data visualization and reporting

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SnowflakeETLELTSQLPythondata modelingAzure Data FactoryAirflowdbtCI/CD

Soft Skills

leadershipcollaborationcommunicationproblem-solvingperformance tuningcost optimizationsecurity enforcement