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 robust, 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.

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