- Design and implement high-quality ETL/ELT data pipelines in Snowflake using python, R or sql scripting.

- Develop and maintain data models, schemas, and warehouse structures optimized for performance and scalability.

- Integrate Snowflake with various cloud and on-prem sources via APIs, connectors, and data ingestion frameworks.

- Collaborate with Data Scientists, Analysts, and BI teams to provide reliable, timely data for reporting and analytics.

- Manage and optimize warehouse compute resources, query performance, and cost efficiency.

- Implement robust data governance and quality frameworks, including security, privacy, and compliance standards.

- Support and maintain CI/CD pipelines for data workflows (Github).

- Troubleshoot complex data issues and recommend process improvements to enhance data reliability.

What You Bring :

- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related field.

- 5-7 years of experience in Data Engineering.

- 3+ years of hands-on experience in Snowflake design, development, and optimization.

- Strong expertise in SQL, data modelling (3NF, star schema, data vault), and performance tuning.

- Proficiency in Python, R or SQL scripting for automation and data transformation.

- Experience with ETL/ELT orchestration tools (Airflow, dbt or equivalent).

- Familiarity with cloud platforms like AWS, Azure, or GCP, and their native data ecosystems.

- Understanding of data governance, access control (RBAC), and encryption in Snowflake.

- Strong analytical mindset with the ability to translate business requirements into technical solutions