At a Glance
- Tasks: Develop AI applications and manage data engineering projects using Python and PySpark.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic team environment with strong career advancement potential.
- Why this job: Make an impact by building cutting-edge AI solutions and enhancing data processes.
- Qualifications: Experience in Python, PySpark, SQL, and cloud platforms is essential.
The predicted salary is between 123750 - 151250 $ per year.
- Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
- Strong hands-on expertise in Python, Py Spark, SQL, REST APIs, Fast API, and enterprise application integration.
- Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
- Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and Data Ops practices.
- Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production support.
- Strong knowledge of cloud and modern data platforms, including compute, storage, integration, orchestration, security, networking, monitoring, and cost optimization services.
- Hands-on experience with Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed data processing frameworks.
- Strong understanding of enterprise security and governance principles, including IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
- Bachelor's degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
- Preferred certifications in Cloud Platforms, Kubernetes, AI Engineering, MLOps, Data Engineering, Enterprise Architecture, Security, or Program Delivery
- Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, Py Spark, and SQL; assessing coverage and quality; and quantifying volumes, distributions, edge cases, and business-process gaps before development.
- Ability to rapidly build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them with automated tests, security controls, error handling, observability, and production support procedures.
- Experience creating business-relevant evaluation datasets with client SMEs, measuring ML or LLM quality, performing structured error analysis, grouping failures by root cause, and prioritizing improvements across releases.
- Ability to measure user adoption and business impact after launch using usage data and agreed KPIs such as time saved, error reduction, straight-through processing, quality improvement, or productivity gains
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Python / Pyspark Developer in Toronto employer: Atlantis IT Group
Join a leading IT company in Toronto that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the payments domain. With a strong focus on employee growth, we provide ample opportunities for professional development and training in cutting-edge technologies like ISO 20022 and Real-Time APIs. Enjoy a competitive benefits package and the chance to work alongside industry experts in a fast-paced environment that fosters creativity and teamwork.
We think you need these skills to ace Python / Pyspark Developer in Toronto
Python
PySpark
SQL
REST APIs
FastAPI
Data Engineering
AI Application Development
