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