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Big Data Engineer (Database, Warehouse and Pipeline)

Trillys Systems
Ottawa, ON

Postuler rapidement

Détails du poste

Temporaire | Temps plein | Contrat à durée déterminée

Compétences

Expérience en développement de données
CI/CD
Optimisation des performances
Modélisation de données
Intégration des données
Azure
Informatique
Techniques de validation des données
Big data
Assurance qualité des données
Ingénierie
Spark
Chiffrement
NoSQL
Google Cloud Platform
DEC
Expérience en données et base de données
Gouvernance des données
Snowflake
SQL
Conception de base de données
Administration de bases de données
AWS
Mentorat
ETL
Service Now
Technologies de l'information
Kafka
Métadonnée
Redshift
Diplôme d'associé
BigQuery
Entrepôt de données
Pipeline
Hadoop

Description complète du poste

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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junior it analyst emplois - ottawa, on

Big Data Engineer (Database, Warehouse and Pipeline)

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