Description
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a passionate and highly skilled Lead Python Data Engineer to spearhead the development and maintenance of our cutting-edge data infrastructure. As a leader in our data team, candidate will play a pivotal role in designing, building, and optimizing data pipelines that empower our organization with insightful and actionable data. If candidate thrive in a fast-paced environment, possess a strong collaborative spirit, and are eager to make a significant impact, we encourage candidate to apply Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $110k – CAD $120k/year & benefits (see below). The Role Responsibilities: Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Requirements: Experience level 7 years Core Python developer, flask, Django, SQLalchamy /SQL, memory model. Design, architect, and implement robust and scalable data pipelines using Python and related technologies (Airflow, Pyspark, PyFlink are a plus). Champion best practices for data engineering, code quality, testing, and deployment. Mentor and guide a team of talented data engineers, fostering a collaborative and high-performing team culture. Collaborate closely with Data Scientists, Data Analysts, and business stakeholders to translate complex business requirements into efficient data solutions. Continuously research and implement new technologies and best practices to improve the efficiency and scalability of our data platform. Take ownership of the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as OpenShift, ECS, or Kubernetes. Preferred, but not required: Experience with data visualization tools and techniques. Familiarity with agile development methodologies. Contributions to open-source projects or active participation in the data engineering community. Banking/ Financial experience is preferred
