Snowflake Data Engineer

Data Platform Design & Implementation

• Architect and deploy scalable, secure, and high-performing Snowflake environments in line with data segregation policies.
• Automate infrastructure provisioning, testing, and deployment for seamless operations.

2. Data Integration & Pipeline Development

• Develop, optimize, and maintain data pipelines (ETL/ELT) to ensure efficient data ingestion, transformation, and migration.
• Implement best practices for data consistency, quality, and performance across cloud and on-premises systems.

3. Data Transformation & Modeling

• Design and implement data models that enable efficient reporting and analytics.
• Develop data transformation processes using Snowflake, DBT, and Python to enhance usability and accessibility.

4. Networking, Security & Compliance

• Configure and manage secure network connectivity for data ingestion.
• Ensure compliance with GDPR, CISO policies, and industry security standards.

5. Data Quality & Governance

• Ensure the Data Segregation Policy is firmly followed for the data sets enabled.
• Implement data validation, anomaly detection, and quality assurance frameworks.
• Collaborate with the Data Governance team to maintain compliance and integrate quality checks into data pipelines.