Job Description

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 Agile 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: - Energetic 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.

📌 Senior Snowflake Data Engineer (Noida)
🏢 Sembridge
📍 Noida