Hybrid Data Engineer

Maplesoft implements TimeLive for Electronic time tracking. Please view the demo below on how to enter and approve time. Do you want to work in a dynamic environment where your contributions count? At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards. Build your future with Maplesoft’s exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture. If you are interested in any of following job openings, please apply directly to info@maplesoftgroup.com, citing the position title and job id in the email subject line. Maplesoft Group is currently seeking a Hybrid Data Engineer (Python / PySpark) for our client. This hybrid role can be filled in either Toronto or Ottawa, ON. Overview: An experienced Python/PySpark Developer is required to support the creation, optimization, and automation of data quality solutions within an enterprise data environment. The successful candidate will work with existing pseudo-code and/or SAS code to build scalable, efficient data quality indicators and reporting components. Key Responsibilities: Develop Python/PySpark code to generate data quality indicators and produce data quality reports. Translate pseudo-code and existing SAS logic into efficient, production-ready Python/PySpark solutions. Enhance and optimize existing Python/PySpark programs to improve performance, scalability, and maintainability. Further automate data quality processes to increase operational efficiency and reduce manual effort. Collaborate with technical and business stakeholders to validate requirements and ensure solution accuracy. Support testing, troubleshooting, and documentation activities as required. Required Qualifications: Demonstrated experience developing solutions in Python and PySpark. Proven ability to interpret pseudo-code and legacy code (e.g., SAS) and translate into modern frameworks. Strong understanding of data quality concepts, data processing workflows, and distributed computing. Experience optimizing and automating data pipelines. Excellent analytical, troubleshooting, and communication skills. Gitlab (Intermediate level) SAS Macro (senior level) SAS Programming (senior level) Data quality (senior level) Data Preparation (senior level) Python (senior level) Apache Spak (senior level) Preferred Assets: Experience working in cloud-based data environments. Knowledge of SAS conversion or modernization initiatives. Familiarity with enterprise data platforms and big data ecosystems. Experience with Amazon Redshift. Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people. Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees. Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Aboriginal peoples or any other legally protected factors. All employment decisions are made based on business needs, job requirements, and individual qualifications. We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at info@maplesoftgroup.com. We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted. Ready to Excel? Think you're a great fit for our team? Explore our Job Opportunities page. #J-18808-Ljbffr