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Design, build, and automate scalable ETL data pipelines using Python and SQL, extracting, transforming, and loading data from varied sources while ensuring high data quality to support analytics. This is a long-term consulting engagement with a major bank client, hybrid with 2 onsite days in Toronto.
Long-term consulting role placing a Data Engineer with a major bank client in Toronto (hybrid, 2 days onsite in Scarborough). The engineer designs, builds, and automates scalable ETL data pipelines using Python and SQL, ensures data quality, and supports analytics teams.
DevOps engineer architecting and maintaining secure, scalable AWS cloud infrastructure using AWS CDK (IaC) for a Canadian banking-sector client, including deploying cloud contact center/IVR platforms (Amazon Connect, Genesys Cloud) and CI/CD pipelines. Remote/hybrid from Polish cities, working 15:00-23:00 CET.
Full-stack developer building dynamic Angular frontends and Node.js/Express backends deployed on AWS (Lambda, API Gateway, DynamoDB), covering serverless architecture, CI/CD pipelines, and Docker/Kubernetes deployments. The role is 99% remote within Poland with occasional office visits.
About Us: UniSysTech Consulting is an innovative technology consulting firm dedicated to delivering cutting-edge, high-quality IT solutions that drive business success through a team of passionate, skilled…
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