Senior Snowflake Data Engineer

Senior Snowflake Data Engineer

Location: Noida (On-site)

Experience: 7+ Years

Employment Type: Full-time

Sembridge is looking for a Senior Snowflake Data Engineer to design, build, and optimize enterprise-scale data platforms. The ideal candidate must have strong hands-on experience with Snowflake and hold a valid Snowflake certification.

If you're passionate about developing high-performance data pipelines, modernizing data architectures, and delivering cloud-native solutions, we'd love to hear from you.

What You'll Do

• Design, develop, and optimize scalable data pipelines and transformation workflows using Snowflake.
• Build robust ELT/ETL solutions leveraging SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
• Modernize existing data-processing pipelines using reusable engineering patterns and incremental processing.
• Implement Snowflake features such as Dynamic Tables, Streams, Tasks, and Stored Procedures.
• Improve platform performance and optimize costs through query tuning, clustering strategies, and warehouse optimization.
• Develop data models, orchestration frameworks, monitoring, testing, and data quality solutions.
• Integrate batch and real-time data using tools such as Fivetran, Kafka, Airflow, or similar technologies.
• Collaborate with architects, DevOps teams, and business stakeholders to deliver scalable, production-ready data solutions.
• Participate in technical design discussions, code reviews, Agile ceremonies, and continuous improvement initiatives.
• Provide hands-on technical contribution across development, troubleshooting, optimization, and production implementation.

What We're Looking For

7+ years of experience in Data Engineering with strong, hands-on expertise in Snowflake.

Hands-on Snowflake experience is mandatory.

Strong technical expertise in:

• Snowflake & Snowpark
• Advanced SQL
• Python
• ELT/ETL Pipeline Development
• dbt
• Data Modeling
• Performance & Cost Optimization

Experience with:

• Dynamic Tables, Streams, Tasks, and Stored Procedures
• AWS, Azure, or GCP cloud platforms
• CI/CD, Git, and automated deployment practices
• Data orchestration, monitoring, and pipeline optimization

Certification Requirement

Snowflake certification is mandatory. Candidates must hold a valid Snowflake certification, preferably SnowPro Core or SnowPro Advanced.

Preferred Qualifications

• Experience with Fivetran, Kafka, Airflow, or similar orchestration tools.
• Knowledge of Terraform or Infrastructure as Code (IaC).
• Experience with Snowflake Iceberg Tables or modern lakehouse architectures.
• Exposure to Snowflake Cortex capabilities.
• Additional cloud or data engineering certifications are a plus.

If you're excited about building modern cloud data platforms and have the hands-on Snowflake expertise and certification required for this role, we'd love to hear from you.