Job Type:Temporary Contract Work Model:Hybrid Reference code:128497 Primary Location:Toronto, ON All Available Locations:Toronto, ON Our Purpose At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100 Canadian:owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. By living our Purpose, we will make an impact that matters. :Have many careers in one Firm. :Enjoy flexible, proactive, and practical benefits that foster a culture of well:being and connectedness. :Learn from deep subject matter experts through mentoring and on the job coaching Summary We are passively seeking Python Developers to join our team in anticipation of future hiring needs. While the demand for this role has not yet been realized, we are eager to build an engaged pipeline for future needs. As a Python Developer at Deloitte, you will play a crucial role in designing, developing, and maintaining scalable data processing systems using Python and Apache Spark for a leading North American Bank. This long:term staff augmentation role requires strong expertise in Python and Spark. You will collaborate with other developers, business analysts, and project managers to deliver high:quality solutions to our client. What will your typical day look like? :Design, develop, and maintain data processing pipelines using Python and Apache Spark. :Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient solutions. :Optimize and tune Spark applications for performance and scalability. :Implement best practices for data engineering, including data quality, data governance, and data security. :Troubleshoot and resolve issues related to data processing and pipeline failures. :Mentor and guide junior developers, providing technical leadership and code reviews. :Stay up:to:date with the latest industry trends and technologies in big data and data engineering. About the team This is your opportunity to work in Operate at Deloitte. Operate services harness the latest technologies, talent, and capabilities from all over the world to deliver ongoing outcomes and client value. We do more than traditional business process outsourcing. We do more than just "keeping the lights on." We work shoulder:to:shoulder with clients and their customers, constantly adapting to the pace of change, to ideate, innovate, and embed continuous advantage at the heart of their operations. And we do it with the kind of drive and passion that comes from loving what you do-and who you do it with. Enough about us, let's talk about you :Bachelor's or Master's degree in Computer Science, Engineering, or a related field. :5+ years of experience in software development with a strong focus on Python. :3+ years of experience working with Apache Spark in a production environment. :Proficiency in SQL and experience with relational databases. :Experience with big data technologies such as Hadoop, Hive, and Kafka. :Strong understanding of data structures, algorithms, and distributed computing. :Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. :Excellent problem:solving skills and attention to detail. :Strong communication and collaboration skills. Total Rewards The salary range for this position is 80,000 : 120,000