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Added 58 mins ago
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Added 59 mins ago
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Added 15 hours ago
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Contract

Rivago Infotech Inc

Senior Data Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 30, 2026
Experience: · Experienced software professional with minimum 5 years of experience in Snowflake
Posting language: English
Posted: Sep 30, 2026

Apply About employer

Applications open in a new tab.

Original job description

Role : Snowflake Developer

Location : Ottawa / Toronto (Hybrid)

· 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.

Apply About employer

More about this job

Responsibilities

Build and maintain Snowflake data warehouse and data lake solutions, including integrations, ingestion pipelines, ETL applications, and automated tools. Deploy updates, provide Level 2 support, investigate production issues, perform root cause analysis, and develop troubleshooting and maintenance procedures.

Requirements

Requires at least five years of Snowflake experience, strong AWS and Snowflake expertise, and experience designing scalable data warehouse, data lake, ETL, and CDC solutions. The role also calls for experience in the Indian finance industry, cross-functional collaboration, effective communication, and the ability to deliver quality project work on time.

Skills

Snowflake
AWS
AWS Glue
AWS Lambda
Snowpipe
SQL
Data Ingestion
Data Warehousing
Data Lake Design
ETL
Change Data Capture
Metadata-Driven Processing
Database Architecture
Data Modeling
Data Governance
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
AWS
AWS Data Services
AWS Glue
AWS Lambda
Active Directory
Data Masking
Encryption
Data Governance
Data Lineage
Data Catalog
Data Classification
Snowpipe
Copy Into
Data Ingestion
Data Warehouse
Data Lake
ETL
Data Analysis
Change Data Capture
Metadata-Driven Processing
RDBMS
Database Architecture
Data Modeling
Performance Optimization
Security and Access Controls
Agile
DevOps
Root Cause Analysis
Indian Finance Industry

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