Sr. AI Software Engineer to design and implement large scale streaming and batch data pipelines for a Call Centre optimization initiative - 130225-195410

Duration: 1 year (possible extension)

Location: Hybrid Toronto

JOB ID: 130225-195410

Our Financial Services Client is in need of a Sr. AI Software Engineer to design and implement large scale streaming and batch data pipelines for a Call Centre optimization initiative

The Role

Our Financial Services client is enhancing and optimizing their Contact Center practice including initiatives focused on: data efficiency, Salesforce integration/optimization, and AI tool implementation.

• Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
• Primary responsibility is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modelling (SQL, NoSQL, Graph & Time-series)

Must Have:

• 6+ years experience as a Software Engineer Java (Spring Boot), Python, and Scala with a focus on designing and developing complex data-intensive applications
• Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
• Infrastructure as Code - IaC (Terraform, ansible etc.)
• Data Streaming Architecture (Kafka, Spark, Airfl ow, SQL, NoSQL, CDC, etc.)
• cloud data platforms and technologies (GCS, BigQuery, Cloud Composer, Pub/Sub, Datafl ow, Dataproc, Looker, and other cloud-native offerings)
• 3+ years experience with large datasets in a cloud-based environment, Google Cloud Platform (GCP) preferred
• Contact Center experience and AI experience

Nice to Haves:

• Previous financial services or banking experience
• Certifications