Posted on: 21/01/2026
Description :
Job Title : Snowflake Data Engineer
Experience : 710 years
Key Responsibilities :
- Data Solution Design : Create and implement data warehouses, data lakes, and robust data models on the Snowflake platform.
- ETL/ELT Pipeline Development : Design, develop, and optimize pipelines for extracting, transforming, and loading data from diverse sources.
- Performance Tuning & Optimization : Utilize Snowflake features such as micro-partitions, clustering, and virtual warehouses to enhance scalability and performance.
- Data Modeling : Design and maintain efficient data models and stored procedures to support reporting and analytics.
- SQL Expertise : Write complex, optimized SQL queries for data transformation, manipulation, and analytics.
- Data Security & Governance : Implement and manage security measures including Role-Based Access Control (RBAC) and encryption to maintain compliance.
- Semi-structured Data Handling : Work with JSON, XML, and Parquet using Snowflakes VARIANT attribute for flexible data storage.
- Migration : Develop strategies and execute migrations from on-premises databases or other platforms to Snowflake.
- Collaboration & Mentorship : Work with data engineers, analysts, and business stakeholders to translate requirements into technical solutions. Provide guidance and mentor junior developers to foster best practices and team development.
- Documentation : Maintain technical specifications, deployment procedures, and knowledge sharing materials for the team.
Required Skills & Tools :
- Snowflake Platform : Expert in Snowflake architecture, features, and functionalities.
- SQL : Advanced proficiency in writing complex and optimized queries.
- Data Modeling : Strong understanding of data warehousing, star schema, and dimensional modeling.
- ETL/ELT Tools : Experience with dbt, Snowpark, PySpark, or AWS Glue for pipeline automation.
- Programming : Proficiency in Python for data processing and automation.
- Cloud Platforms : Familiarity with AWS or other cloud services for scalable solutions.
- Liaise and communicate effectively with senior technical stakeholders.
- Perform analysis and data modeling required in Snowflake.
- Estimate implementation efforts and define technical plans.
- Lead and manage the implementation team (Data Engineers and Qlik report developers) on a day-to-day basis.
- Ensure deliverables meet quality, performance, and scalability standards
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1604418