Posted on: 27/04/2026
Job Title : Snowflake Developer
Location : Open / As per Business Requirement
Experience : 5+ Years (Relevant in Snowflake & Azure Data Engineering)
Job Summary :
We are seeking a highly skilled Snowflake Developer with strong expertise in cloud-based data engineering, Snowflake architecture, and Azure data services. The ideal candidate will have hands-on experience designing, developing, and optimizing scalable data solutions for enterprise-grade systems.
This role requires deep technical proficiency in Snowflake Cloud Data Platform, Python, SQL, Azure Data Factory, Azure Data Lake, and Azure DevOps, along with strong understanding of ETL/ELT processes, data modeling, governance, and security best practices.
Key Responsibilities :
1. Snowflake Development & Data Engineering :
- Design, develop, and implement scalable Snowflake data pipelines.
- Build and manage Snowflake Tasks, Stored Procedures, UDFs, Tables, Streams, and Snowpipe for automated data ingestion and processing.
- Perform data transformation including flattening semi-structured data (JSON/XML), filtering, aggregation, and optimization.
- Optimize Snowflake queries, virtual warehouses, and storage for performance and cost efficiency.
- Implement data loading and unloading processes across multiple source systems.
2. Azure Data Integration & ETL/ELT :
- Design and build ETL/ELT workflows using Azure Data Factory (ADF).
- Integrate structured and semi-structured data into Azure Data Lake.
- Develop and maintain Azure Function Apps for custom processing and event-driven workflows.
- Work with XML and JSON file formats for ingestion and transformation.
3. DevOps & Deployment :
- Implement and manage CI/CD pipelines using Azure DevOps.
- Automate deployments, version control, and release management for Snowflake and Azure components.
- Support Dev/Test/Prod environment management and code migration strategies.
4. Data Modeling & Governance :
- Design and implement data models including Star Schema and Snowflake Schema.
- Ensure adherence to enterprise data governance, security, and compliance standards.
- Implement role-based access controls, masking policies, and secure data-sharing mechanisms.
5. Performance & Optimization :
- Perform query tuning and warehouse sizing optimization.
- Monitor data pipeline performance and troubleshoot issues proactively.
- Improve scalability and reliability of data solutions.
Required Skills & Qualifications :
- Strong hands-on experience with Snowflake Cloud Data Platform (Tasks, Stored Procedures, UDFs, Snowpipe, Streams).
- Proficiency in Python and SQL, including advanced query optimization techniques.
- Experience with Azure Data Factory (ADF), Azure Data Lake, and Azure Function Apps.
- Familiarity with Azure DevOps for CI/CD and automation.
- Strong understanding of ETL/ELT processes and data integration patterns.
- Experience handling XML and JSON data formats.
- Solid understanding of data modeling concepts (Star/Snowflake schema).
- Knowledge of data governance, security frameworks, and compliance standards.
Preferred Qualifications :
- Experience working in large-scale enterprise cloud environments.
- Exposure to Agile/Scrum methodology.
- Certifications in Snowflake or Microsoft Azure (preferred).
Soft Skills :
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work in a fast-paced, collaborative, and agile environment.
- Proactive mindset with attention to detail.
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1631715