Snowflake On Azure Hucon Solutions India Pvt.Ltd.

About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: Data Engineer Snowflake on Azure

Experience: 6-9 years
Salary Range: 15 -30 LPA
Locations: Mumbai, Bangalore

Job Summary:

We are looking for a skilled Data Engineer with strong hands-on experience in Snowflake on Azure to design, build, and maintain cloud-based data solutions. The candidate will be responsible for developing scalable data pipelines, optimizing data models, and enabling data integration across platforms in the Azure ecosystem.

Key Roles & Responsibilities (R&Rs):

1. Data Pipeline Development & Integration

• Design, develop, and maintain ETL/ELT pipelines using Snowflake on Azure.

• Integrate data from various sources (cloud, on-premise, and third-party APIs) into Snowflake.

• Work with Azure data services like Azure Data Lake, Azure Synapse, and Azure Data Factory for seamless data integration.

2. Snowflake Architecture & Optimization

• Design and implement Snowflake data models and structures (tables, schemas, and views).

• Optimize Snowflake queries, storage, and compute resources to ensure cost-effective and high-performance data operations.

• Work on Snowflake-specific features like Streams, Tasks, and Time Travel.

3. Data Quality & Governance

• Ensure high-quality and reliable data through monitoring, data validation, and troubleshooting.

• Implement data governance policies and best practices, ensuring secure and compliant data usage.

• Establish data access control and ensure compliance with regulatory requirements on Azure.

4. Collaboration & Support

• Collaborate with cross-functional teams (data scientists, analysts, business teams) to understand data needs and deliver solutions.

• Provide technical leadership in data solution design and implementation.

• Support troubleshooting and optimization efforts, identifying issues and providing data-related solutions.

Required Skills & Qualifications:

• Bachelors/Masters degree in Computer Science, Engineering, or a related field.

• 6-9 years of experience in data engineering with hands-on expertise in Snowflake and Azure ecosystem.

• Strong knowledge of Snowflake architecture and performance optimization techniques (partitioning, clustering, and indexing).

• Proficient in SQL and Snowflake-specific SQL constructs for querying, storing, and transforming data.

• Experience with Azure Data Factory, Azure Data Lake, and Azure Synapse for data integration and processing.

• Programming experience in Python or Java for building data pipelines.

Preferred Skills (Good to Have):

• Certifications: Snowflake SnowPro, Microsoft Certified: Azure Data Engineer Associate.

• Experience with CI/CD pipelines for data engineering (Azure DevOps, Git, Jenkins).

• Exposure to data visualization tools (Power BI, Tableau).

• Familiarity with data governance frameworks, metadata management, and security practices.