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AWS Data Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
6+ years of overall IT experience with a minimum of 3 years of hands-on experience as a Data Engineer or equivalent role.
Posting language
English
Posted

Original job description

Iris's client, one of the world's largest multinational investment banking and financial services corporation is looking to hire a AWS Data Engineer Our direct client is a is a world-leading financial services company, provides consumers, corporations, governments, and institutions with a broad range of financial services and products.

Title: AWS Data Engineer

Location: Toronto, ON (Hybrid)

Duration: 24+ Months

Job Summary: We are seeking an experienced AWS Data Engineer with 6+ years of overall IT experience, including at least 3 years in data engineering or a similar role. The ideal candidate will have strong expertise in AWS cloud technologies, data integration, ETL/ELT processes, and building scalable data pipelines. This role requires excellent communication skills and the ability to work effectively in onsite-offshore delivery models.

Key Responsibilities

  • Design, develop, and maintain scalable and reliable data pipelines on AWS.
  • Build and optimize data ingestion, transformation, and processing workflows.
  • Work closely with business stakeholders, architects, and development teams to deliver data solutions.
  • Implement data engineering best practices for performance, scalability, security, and cost optimization.
  • Monitor and troubleshoot data workflows and pipeline failures.
  • Collaborate with onsite and offshore teams to ensure successful project delivery.
  • Support data modernization, migration, and cloud transformation initiatives.

Required Qualifications:

  • 6+ years of overall IT experience with a minimum of 3 years of hands-on experience as a Data Engineer or equivalent role.
  • Strong understanding of AWS core services and cloud architecture best practices.
  • Experience designing and implementing data solutions in AWS environments.
  • Solid knowledge of data warehousing, ETL/ELT processes, and data modeling concepts.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in onsite/offshore engagement models.

About Iris Software Inc.

Iris Software, Inc. (registered as SSA Infosystems in Canada) is a CMMi Level 5 New Jersey based company providing information technology solutions to clients nationwide for over 30 years. Iris has been growing at over 100% annually. In a program sponsored by Price Waterhouse, PNC Bank and Marsh, Iris has been honored for being

  • One of New Jersey's Finest 25 companies for the year 2001 and 2002.
  • Iris is also ranked 75th among Inc 500 s list of privately held companies for year 2001.
  • NJ Technology FAST 50 Company for year 2002.

In a competitive industry, we distinguish ourselves by reliability, technical expertise and a history of successfully completed projects for clients ranging from mid-sized to Fortune 1000 companies.

Regards,

Neeraj Singh

Executive - TA

More about this job

Responsibilities

Design, build, optimize, and maintain scalable AWS data pipelines and workflows for data ingestion, transformation, and processing. Collaborate with stakeholders and onsite-offshore teams to deliver data solutions, troubleshoot pipeline issues, and support modernization, migration, and cloud transformation initiatives.

Requirements

Requires 6+ years of overall IT experience, including at least 3 years of hands-on data engineering or equivalent experience. Candidates should have strong AWS and cloud architecture knowledge, experience implementing AWS data solutions, and solid understanding of data warehousing, ETL/ELT, data modeling, communication, and onsite-offshore delivery.

Skills

  • AWS
  • Data Engineering
  • Data Pipelines
  • Data Ingestion
  • Data Transformation
  • ETL/ELT
  • Data Warehousing
  • Data Modeling
  • Cloud Architecture
  • Data Integration
  • Performance Optimization
  • Scalability
  • Cloud Security
  • Cost Optimization
  • Troubleshooting
  • Communication

Visa sponsorship

Not detected in the job text

Hiring contact

Neeraj Singh

Categories

  • Data & Analytics
  • Technology
  • Software
  • Finance & Accounting

Keywords

  • AWS
  • Cloud Technologies
  • Cloud Architecture
  • Data Engineering
  • Data Integration
  • Data Pipelines
  • Data Ingestion
  • Data Transformation
  • Data Processing
  • ETL/ELT
  • Data Warehousing
  • Data Modeling
  • Scalable Data Solutions
  • Performance Optimization
  • Cloud Security
  • Cost Optimization
  • Workflow Monitoring
  • Pipeline Troubleshooting
  • Data Modernization
  • Data Migration
  • Cloud Transformation
  • Onsite-Offshore Delivery
  • Financial Services
  • Investment Banking

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