Posted on: 10/06/2026
Data Engineer (Snowflake)
Location : Noida
Experience : 4+ Years
Employment Type : Full-Time, Permanent
Industry : IT Services & Consulting
About the Role :
We are looking for a skilled Data Engineer with strong expertise in Snowflake, SQL, and Data Warehousing concepts. The ideal candidate will be responsible for designing, developing, and optimizing scalable cloud-based data solutions, building robust ETL/ELT pipelines, and supporting data migration initiatives from on-premises environments to cloud platforms.
Key Responsibilities :
- Design, develop, and maintain scalable data solutions using Snowflake.
- Demonstrate hands-on expertise in Snowflake Architecture, including database design, performance tuning, and optimization.
- Build and manage efficient ETL/ELT pipelines for data ingestion, transformation, and processing.
- Perform complex data transformation and data integration activities across multiple sources.
- Design, implement, test, and deploy cloud-based data engineering solutions.
- Monitor, troubleshoot, and optimize data pipelines to ensure high performance and reliability.
- Support migration of data platforms and applications from on-premises environments to public cloud platforms.
- Collaborate with cross-functional teams, including business stakeholders, analysts, and developers, to deliver data-driven solutions.
- Ensure adherence to data governance, security, and best practices in data engineering.
Required Skills :
- 4+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Snowflake and its architecture.
- Expertise in SQL and database programming.
- Solid understanding of Data Warehousing concepts and dimensional modeling.
- Experience in designing and implementing ETL/ELT processes.
- Strong knowledge of data transformation, integration, and optimization techniques.
- Experience working with cloud platforms and cloud-based data solutions.
- Exposure to migration projects from on-premises systems to cloud environments.
- Excellent analytical, problem-solving, and debugging skills.
Preferred Qualifications :
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data pipeline orchestration and automation tools.
- Familiarity with data governance, security, and performance optimization best practices.
Educational Qualification :
- Bachelor's Degree in Engineering, Computer Science, Information Technology, or a related field.
- Any Graduate with relevant experience may also apply.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1643661