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Snowflake Data Engineer

  • Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Experience
· Experienced software professional with minimum 5 years of experience in Snowflake
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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.

More about this job

Responsibilities

Build and optimize Snowflake data warehouse and data lake solutions, including scalable ETL pipelines, data ingestion, and integrations with customer and internal systems. Deploy updates, provide Level 2 support, investigate production issues, automate visualization, and improve system reliability and customer experience.

Requirements

Requires at least five years of Snowflake experience, strong expertise in AWS data services, Snowflake architecture, data warehousing, ETL, and change data capture, plus experience leading Snowflake projects on AWS. Candidates should be able to collaborate across technical teams, deliver projects on time, communicate with technical and non-technical stakeholders, and have experience working with the Indian finance industry.

Skills

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

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

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
  • Snowflake Architecture
  • Data Warehouse
  • Data Lake
  • ETL
  • Data Analysis
  • Change Data Capture
  • Metadata-Driven Processing
  • RDBMS
  • Database Design
  • Performance Optimization
  • Security and Access Controls
  • Agile
  • DevOps
  • Level 2 Technical Support
  • Root Cause Analysis
  • Indian Finance Industry

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