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Artech LLC
AI & Data - Data EngineerArtech LLC • Toronto
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AI & Data - Data Engineer

AI & Data - Data Engineer

Artech LLC • Toronto
Il y a 2 jours
Salaire
42,00 $CA par heure
Type de contrat
  • Temps plein
Description de poste

Location: Hybrid - 2 days on site Toronto, ON
Salary Range: T4- $42 | INC - $48
Duration: 6+ Months

Introduction

We are seeking an experienced Data Engineer with strong expertise in AWS Glue, Informatica PowerCenter, ETL modernization, and Tableau reporting. The ideal candidate will play a key role in migrating legacy Informatica ETL workflows to AWS Glue (PySpark), designing scalable cloud-based data pipelines, and collaborating with client and offshore teams to deliver high-quality data solutions.

Required Skills & Qualifications

  • 5+ years of experience with AWS Glue, PySpark, AWS S3, Athena, and related AWS data services
  • Hands-on experience with Informatica PowerCenter and ETL development
  • Proven experience in Informatica-to-AWS Glue migration projects
  • Strong SQL and data modeling skills
  • Knowledge of data warehousing, ETL/ELT concepts, and cloud-based analytics platforms
  • Experience with source systems such as Oracle, DB2, PostgreSQL, or SQL Server
  • Good understanding of data quality, performance tuning, and optimization techniques

Preferred Skills & Qualifications

  • Experience with Tableau for data visualization and reporting
  • Knowledge of CI/CD, Git, and Agile delivery methodologies
  • Exposure to other AWS services such as Lambda, Step Functions, and Redshift

Day-to-Day Responsibilities

  • Analyze existing Informatica ETL workflows and design migration strategies to AWS Glue using PySpark
  • Convert, optimize, and validate Informatica mappings, workflows, and transformations in AWS Glue
  • Develop and maintain scalable, high-performance data pipelines on AWS
  • Perform data reconciliation and validation to ensure accuracy between legacy and target systems
  • Design, build, and support data ingestion, transformation, and integration processes
  • Create technical specifications, migration documents, and solution designs
  • Collaborate with business stakeholders to understand requirements and translate them into technical solutions
  • Support data visualization and reporting initiatives using Tableau
  • Coordinate effectively between client stakeholders, onsite teams, and offshore development teams
  • Lead discussions, track action items, and ensure timely delivery of project milestones
  • Proactively identify risks, dependencies, and issues and bring them to logical conclusions

Company Benefits & Culture

  • Comprehensive health, dental, and vision insurance
  • Flexible working hours and remote work opportunities
  • Professional development and continuous learning opportunities

For immediate consideration please click APPLY to begin the screening process with Alex.

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AI & Data - Data Engineer • Toronto

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