Snowflake Data Engineer

Role : Snowflake Data Engineer Location : Toronto (Hybrid) contract As a Snowflake Developer, you are expected to have below Technical skills: Cloud technologies (AWS data services, AWS Glue, AWS Lambda, Integration with Active directory, masking and encryption, Governance activities – Lineage, Catalog, classifications. Infrastructure setup in Snowflake) Experienced with multiple data-ingestion methods for loading data to Snowflake: Snowpipe, Glue, Copy Into for large volume of data as well as incremental data handling Sound knowledge of Snowflake Architecture, Design and Performance considerations Data lake and Data Warehouse Design and optimization ETL, Data Analysis, CDC Technical understanding of digital / customer experience layers:Been Leading and built at least 1-2 Projects on AWS cloud with Snowflake Strong experience in designing and building DWH, Data lake ETL based applications with scalability and performance Experience with CDC and metadata driven based processing Have build DWH models Hands on experience of architecting RDBMS and Snowflake databases – transactional as well as data-warehouse Strong knowledge of data structures, analytical algorithms, and designing for performance Good to understand the security and access controls on AWS Nice to understand Agile and Devops methodology for cloud deployment. What You'll Do Implement integrations requested by customers Deploy updates and fixes Provide Level 2 technical support Build tools to reduce occurrences of errors and improve customer experience Develop software to integrate with internal back-end systems Perform root cause analysis for production errors Investigate and resolve technical issues Develop scripts to automate visualization Design procedures for system troubleshooting and maintenance Expertise You'll Bring Experienced software professional with minimum 5 years of experience in Snowflake Working experience to work with Indian finance industry Work with cross functional teams including QA, Platform Delivery and DevOps Not afraid of refactoring existing system and guiding the team about same. Able to plan and deliver project deliverable on time with quality. Good Communication skills Innovative Thinking Organization Commitment (hard working) Customer Focus/Orientation Able to communicate effectively with both technical and non-technical project stakeholders.

The Snowflake Data Engineer will implement integrations requested by customers, deploy updates and fixes, and provide Level 2 technical support. They will also develop software to integrate with internal back-end systems and perform root cause analysis for production errors.

Candidates should have a minimum of 5 years of experience in Snowflake and a strong background in designing and building data warehouse and data lake ETL applications. Experience working with the Indian finance industry and cross-functional teams is also required.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Snowflake
• AWS
• Data Engineering
• ETL
• Data Analysis
• Data Warehouse
• Data Lake
• CDC
• RDBMS
• Agile
• DevOps
• Integration
• Data Governance
• Performance Optimization
• Technical Support
• Automation

Expérience minimale

5+ ans

Postuler avant le

12 août 2026