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Job Post Details

Big Data Engineer (Database, Warehouse and Pipeline) - job post

Trillys Systems
Ottawa, ON K1G 4G5
$700–$1,050 a day - Temporary, Full-time, Fixed term contract

Job details

Pay

  • $700–$1,050 a day

Job type

  • Fixed term contract
  • Temporary
  • Full-time

Location

Ottawa, ON K1G 4G5

Full job description

About the Opportunity

Trillys Systems is assembling experienced Data Engineers to support a multi‑year Government of Canada initiative focused on building a robust, scalable, and efficient enterprise data environment.

This engagement is critical to enabling modern analytics, business intelligence, and data‑driven decision‑making across the organization. If you have experience designing data pipelines, building data warehouses, or supporting cloud‑scale data platforms, this opportunity is an excellent fit.

  • Location: Ottawa, ON (On‑site)
  • Contract Duration: Multi‑year (up to 5 years)
  • Clearance: Eligibility to obtain Canadian Security Clearance
  • Experience Level: Senior or Intermediate

Available Streams

Stream 1 / 2 / 3— Data Pipeline / Data Warehouse / Big Data Engineers

What You’ll Do

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Implement and manage data warehousing solutions and data modeling
  • Build and maintain data infrastructure (databases, data lakes, data marts)
  • Ensure data quality, governance, and security across all data assets
  • Optimize data processing performance and efficiency
  • Collaborate with data scientists, analysts, and business stakeholders
  • Implement data monitoring, logging, and alerting systems
  • Maintain data documentation and metadata management
  • Support data migration and integration projects
  • Implement data security measures and access controls

Tasks

  • Design and implement modern data pipeline architectures
  • Develop and maintain ETL/ELT processes
  • Create and manage relational and non‑relational data models
  • Set up and maintain data warehousing platforms (Snowflake, Redshift, BigQuery)
  • Implement data quality validation and monitoring frameworks
  • Develop data governance policies and procedures
  • Optimize database performance and query efficiency
  • Implement encryption and access control mechanisms
  • Create comprehensive data documentation and metadata repositories
  • Support system‑to‑system data migration projects
  • Develop data monitoring dashboards and alerting systems
  • Collaborate with cross‑functional teams on data requirements
  • Mentor junior data engineers and provide knowledge transfer

Deliverables

  • Data pipeline architecture documentation and implementation
  • ETL/ELT process documentation and code repositories
  • Data warehouse design and implementation documentation
  • Data quality monitoring framework and reports
  • Data governance policy documentation
  • Performance optimization reports and recommendations
  • Data security implementation documentation
  • Comprehensive data dictionary and metadata repository
  • Data monitoring dashboard configurations
  • Migration project plans and implementation reports
  • Training materials and knowledge transfer documentation

You’re a Fit If You Have

Senior Data Engineer

  • Degree/diploma in Computer Science, Engineering, or related field, or 10+ years progressive IT experience
  • 10+ years designing and implementing data pipelines and ETL processes
  • 10+ years with data warehousing and data modeling
  • 10+ years with big data technologies (Hadoop, Spark, Kafka, etc.)
  • 10+ years with cloud data platforms (AWS, Azure, GCP)
  • 10+ years with SQL and NoSQL database management
  • 10+ years implementing data quality and governance frameworks
  • 10+ years with data security and access controls
  • 10+ years supporting analytics and BI teams
  • 10+ years with version control, CI/CD, and automation tools

Intermediate Data Engineer

  • Degree/diploma in Computer Science, Engineering, or related field, or 5+ years progressive IT experience
  • 5+ years designing and implementing data pipelines and ETL processes
  • 5+ years with data warehousing and data modeling
  • 5+ years with big data technologies (Hadoop, Spark, Kafka, etc.)
  • 5+ years with cloud data platforms (AWS, Azure, GCP)

Why Join This Engagement

  • Work on high‑impact data modernization initiatives
  • Opportunities across multiple data engineering specializations
  • Long‑term stability
  • Collaborative, multidisciplinary teams
  • Ability to influence enterprise‑wide data strategy and architecture

WEB: https://trillys.com/home/category/careers/

Job Types: Full-time, Fixed term contract

Pay: $700.00-$1,050.00 per day

Education:

  • DCS / DEC (preferred)

Experience:

  • ServiceNow: 5 years (required)

Location:

  • Ottawa, ON K1G 4G5 (required)

Work Location: In person

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