Data Engineer

EXL; Canada; On-site; CAD 70,000 - 90,000; Full time

Job summary

A data-driven technology company in Canada is seeking a Data Engineer to design and operate robust ingestion pipelines using AWS-native services. The role involves ensuring data quality and reliability as part of a cloud-native data ecosystem. Candidates should have experience with CDC-based ingestion patterns and data modeling. This position enables significant contributions to fan engagement and marketing analytics across a dynamic environment.

Qualifications

• Experience with AWS-native services is essential.
• Familiarity with CDC-based ingestion patterns is required.
• Knowledge of data quality and observability standards is crucial.

Responsibilities

• Design, build, and operate robust ingestion pipelines.
• Implement CDC-based ingestion patterns for various platforms.
• Standardize ingestion frameworks for files and APIs.
• Define and maintain data models preserving source fidelity.
• Ensure ingestion pipelines meet data quality standards.

Skills

Robust ingestion pipelines

AWS-native services

CDC-based ingestion patterns

Data quality standards

AWS CDK

CI/CD pipelines

Job description

Overview / Objective

We are seeking a Data Engineer to join our Sports Analytics & Engineering Practice. This role sits at the heart of our cloud-native data ecosystem and is responsible for bringing data into the platform reliably, securely, and at scale.

You will design and operate ingestion pipelines that power downstream analytics, fan engagement, marketing, and reporting use cases across the league ecosystem. Your work ensures that raw data—batch and streaming—arrives on time, complete, governed, and analytics-ready, forming the backbone of a world-class customer data platform.

Key Responsibilities

• Design, build, and operate robust ingestion pipelines for batch and near-real-time data using AWS-native services
• Implement CDC-based ingestion patterns for databases, SaaS platforms, and external partners
• Standardize ingestion frameworks for files, APIs, event streams, and cross-account data sharing
• Define and maintain raw and staging data models that preserve source fidelity and lineage
• Partner with source system owners to define ingestion SLAs, contracts, schemas, and change management strategies
• Ensure ingestion pipelines meet data quality, observability, and reliability standards
• Implement metadata capture, schema evolution handling, and data validation at ingestion time
• Automate infrastructure using AWS CDK and integrate CI/CD pipelines via CodeCommit and CodePipeline
• Optimize ingestion workflows for scalability, cost efficiency, and fault tolerance
• Support Agile delivery and collaborate closely with offshore engineering teams