Senior Snowflake Data Engineer

BlueCloud; Dadri; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Blue Cloud is seeking a Senior Snowflake Data Engineer to design, build, and optimize enterprise-grade data platforms in a cloud environment. You will join a team dedicated to high-performance pipelines and cost-efficient architecture.

You will implement ELT/ETL workflows using SQL, Python, dbt, and Snowpark, modernize existing pipelines, apply best practices for quality, governance, and observability, and collaborate with architects, DevOps, and business stakeholders.

Qualifications

• 7+ years in Data Engineering with Snowflake expertise.
• Strong SQL, Python, and dbt skills.
• Hands-on cloud experience (AWS/Azure/GCP) and data modeling.
• Familiarity with ETL/ELT, orchestration tools, and CI/CD.
• Experience with cost and performance optimization.

Responsibilities

• Design, build, and optimize scalable data pipelines using Snowflake.
• Leverage dbt, SQL, Python to implement ELT/ETL workflows.
• Modernize pipelines with reusable patterns and incremental processing.
• Implement Snowflake features: Dynamic Tables, Streams, Tasks, Procedures.
• Collaborate with architects, DevOps, and stakeholders for production-ready solutions.
• Monitor, test, and ensure data quality and governance.

Skills

Snowflake

Snowpark

Advanced SQL

Python

dbt

Data Modeling

Performance Tuning

Cost Optimization

Cloud Platforms

Tools

Fivetran

Kafka

Airflow

Terraform

Git

CI/CD

AWS

Azure

GCP

Snowflake

Job description

Blue Cloud is looking for a Senior Snowflake Data Engineer to design, build, and optimize enterprise-scale data platforms. 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.

What We're Looking For:

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

Strong technical expertise in:

• Snowflake & Snowpark
• Advanced SQL
• Python
• 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

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.
• SnowPro Core or SnowPro Advanced Certification.

If you're excited about building modern cloud data platforms and solving complex data engineering challenges, we'd love to hear from you.