Back End Developer

Role: Backend Developer (Python)

Location: Toronto, ON / hybrid

Duration: 6 months

Exp - 8+ years

Job Description

Develop and maintain backend systems using Python, PySpark ensuring high performance, scalability, and reliability.

Participate in the design and implementation of data engineering and ETL pipelines using PySpark Collaborate with cross-functional teams to identify and prioritize project requirements Mentor and guide engineers, providing technical guidance and code reviews Stay up-to-date with the latest technologies and frameworks, and apply this knowledge to improve existing systems and processes Lead the technical direction of the team, including architecture, design, and implementation of software systems Collaborate with product owners to define and prioritize requirements Develop and maintain technical documentation, including architecture diagrams, and technical specifications Participate in code reviews, ensuring high-quality code and adherence to coding standards Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications Expert in DevOps practices and tools for CICD pipelines.

Willingness to learn new technologies and adapt to new challenges Proven experience in leading technical teams, including technical guidance, mentoring, and coaching Strong technical leadership skills, including the ability to make technical decisions, prioritize tasks, and manage technical resources Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to drive technical innovation, including researching new technologies, evaluating technical options, and recommending technical solutions Strong problem-solving skills, with the ability to debug complex issues, optimize system performance, and ensure high-quality software delivery Experience with Agile development methodologies, including Scrum or Kanban, and the ability to apply these principles to lead the team Experience with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)Experience with PySpark for Data EngineeringETL pipelines Familiarity with containerization using Docker and orchestration using Kubernetes

Digital : Python~Digital : Kafka~Digital : Databricks~Digital : PySpark ~.NET, CORE, ASP.net, MVC, SQL, SSIS, SSRS, Angular~