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Cloud engineer • st albert ab

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Data Engineer – Senior

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PCL ConstructionEdmonton, AB, CA
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Salary: $73,000 - 89,000 per year.We need 5+ years of experience in platform engineering, site reliability, DevOps, or infrastructure roles at production scale with similar technologies.We are look... Voir plus

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The Services Application Engineer is a senior technical role within the Services Engineering team, responsible for delivering advanced power system solutions across the full project lifecycle-from ... Voir plus

Data Engineer – Senior

Data Engineer – Senior

SereneAidEdmonton, AB, ca
Il y a 21 jours
Type de contrat
  • Temps plein
Description de poste

Job Description

Data Engineer – Senior

Client: Government of Alberta – Technology and Innovation

Project: Digital Regulatory Assurance System (DRAS)

Location: Edmonton, Alberta – 9942 108 ST, Edmonton, AB T5K 2J5


Contract & Work Schedule

  • Hours: 36.25 hours/week
  • Daily: 7.25 hours/day
  • Schedule: Monday–Friday, 8:15 AM–4:30 PM Alberta Time
  • Work Mode: Primarily remote
  • Location Requirement: Must work from within Canada
  • Onsite: Edmonton meetings approximately 3–4 times per fiscal month or more, as required
  • Extension: Up to 6 months

Role Overview

The Senior Data Engineer will primarily support the DRAS program, designing and operating reliable data pipelines and data products. The role focuses on data ingestion, integration, transformation, governance, quality, and delivery of trusted analytics-ready datasets for regulatory, compliance, reporting, and future AI use cases.

Key Responsibilities

  • Design scalable, secure Microsoft Azure data architectures
  • Build data ingestion and transformation pipelines using Azure Data Factory, Azure Databricks and Azure Synapse
  • Manage Azure Data Lake Storage Gen2
  • Integrate data from ServiceNow, geospatial systems and other source systems
  • Develop data models and semantic layers
  • Build and optimize ETL/ELT workflows using Python, PySpark and SQL
  • Develop secure APIs and data services using Azure API Management
  • Implement data governance, metadata, classification and lineage
  • Apply security controls including RBAC, encryption and data masking
  • Monitor and troubleshoot data pipelines and integrations
  • Use AI and automation for pipeline development, testing, monitoring and documentation
  • Curate standardized, high-quality datasets for advanced analytics and AI.


Requirements

Must-Have Requirements

Skill / Qualification
Required Experience
Analytics-ready data solutions, semantic layers, data marts & data products
3+ years
Git / GitHub version control
4+ years
Azure Storage, SQL, Synapse, networking & secure authentication
3+ years
Python / PySpark & SQL Data Engineering
5+ years
Azure Databricks & Delta Lake
3+ years
AI for code generation, data analysis & automation
1+ year


Nice-to-Have

  • Data requirements analysis / transformation / cleansing / wrangling – 6 years
  • Microsoft SQL Server – 6 years
  • Microsoft Fabric – 2 years
  • Government of Alberta Cloud environment – 1 year
  • RESTful API design/integration – 3 years
  • ActiveMQ / Azure Service Bus / Message Queueing – 3 years
  • Cross-functional software and data product development – 5 years



Requirements
Must-Have Requirements Skill / Qualification Required Experience Analytics-ready data solutions, semantic layers, data marts & data products 3+ years Git / GitHub version control 4+ years Azure Storage, SQL, Synapse, networking & secure authentication 3+ years Python / PySpark & SQL Data Engineering 5+ years Azure Databricks & Delta Lake 3+ years AI for code generation, data analysis & automation 1+ year Nice-to-Have Data requirements analysis / transformation / cleansing / wrangling – 6 years Microsoft SQL Server – 6 years Microsoft Fabric – 2 years Government of Alberta Cloud environment – 1 year RESTful API design/integration – 3 years ActiveMQ / Azure Service Bus / Message Queueing – 3 years Cross-functional software and data product development – 5 years