Job Summary
Job Description: Snowflake Engineer (8+ Years Experience)
Role Overview
We are seeking a highly skilled Snowflake Engineer with 8+ years of overall IT experience, including 3+ years of strong hands-on experience in Snowflake-based data engineering. The ideal candidate brings deep expertise in modern data pipeline engineering, metadata-driven ingestion, and AI-enabled data processing, along with strong consultative and stakeholder engagement skills.
Key Responsibilities
Key Responsibilities
1. Data Pipeline Engineering
- Design and develop scalable, high-performance data pipelines using SnowSQL, Snowpark, and Snowflake native capabilities
- Build and optimize ELT/ETL frameworks supporting both batch and real-time workloads
- Implement robust ingestion pipelines from diverse enterprise systems
2. Metadata-Driven Ingestion
- Design and implement metadata-driven ingestion frameworks for scalable onboarding of datasets
- Handle ingestion across multiple formats including XML, CSV, JSON, and Parquet
- Automate ingestion, validation, and transformation processes
3. Streaming & Kafka Integration
- Develop real-time data ingestion pipelines using Kafka
- Integrate streaming data into Snowflake ensuring reliability and scalability
- Implement monitoring and failure handling for streaming workflows
4. AI/GenAI Integration (Cortex AI)
- Leverage Snowflake Cortex AI capabilities to enable AI-driven data transformations, enrichment, and insights generation
- Collaborate with business and analytics teams to enable AI-powered data consumption use cases
- Contribute to building intelligent, automated data pipelines and semantic layers
5. Data Modeling & Transformation
- Develop scalable data models supporting analytics and reporting layers
- Build transformations using Snowpark, SQL, and Snowflake native features
- Optimize query performance and data access patterns
6. Data Delivery & Reporting Enablement
- Deliver analytics-ready datasets in predefined formats for reporting tools (Power BI, Tableau, etc.)
- Work closely with business stakeholders to ensure data usability and alignment with reporting requirements
7. Performance Optimization & Governance
- Implement best practices for performance tuning, clustering, and cost optimization
- Ensure data quality, governance, security, and compliance standards
- Monitor, troubleshoot, and continuously improve pipelines
8. Stakeholder Engagement & Technical Consulting
- Engage with stakeholders to understand business needs and translate them into data solutions
- Provide technical consultation on data architecture, ingestion strategies, and Snowflake capabilities
- Act as a trusted advisor in data engineering and platform decisions
Skill Requirements
Required Skills & Experience 8+ years of overall IT experience with 3+ years in Snowflake engineering Strong expertise in: Snowflake (SnowSQL, Snowpark, Snowpipe, Streams/Tasks) Pipeline design and data engineering frameworks Metadata-driven ingestion architectures Hands-on experience with: Kafka-based ingestion (mandatory) File formats: Parquet (must), CSV, XML, JSON Experience delivering data in predefined formats for reporting and analytics Strong proficiency in SQL and data modeling Hands-on experience or exposure to Snowflake Cortex AI (required) Excellent communication, presentation, and stakeholder management skills Strong technical consulting and problem-solving mindset Good-to-Have Skills Experience with DBT (Data Build Tool) Knowledge of PL/SQL or procedural SQL prog