About Company
At Career.zycto, we are pioneering innovative data solutions that drive strategic decision-making for our diverse clientele. We empower our engineers with cutting-edge technologies and a collaborative environment where intellectual curiosity is highly valued. Here, Data Engineers don’t just process information; they shape the future of analytics, building robust infrastructures that unlock critical insights. Join a team dedicated to excellence, continuous learning, and making a tangible impact in the data landscape. Your expertise in managing complex data pipelines will find its true purpose within our dynamic, forward-thinking organization.
Job Description
Are you an adept Data Engineer with a passion for transforming raw data into actionable intelligence? Career.zycto is actively seeking a highly skilled and motivated Data Engineer to join our growing team in Hochelaga-Maisonneuve, Montreal. This is a unique opportunity for an English-speaking professional to play a pivotal role in designing, building, and optimizing our next-generation data architecture and pipelines. We are committed to leveraging data as a strategic asset, and your contributions will directly empower our analytics and machine learning teams to uncover deeper insights and drive innovative solutions for our diverse clientele.
At Career.zycto, we believe that robust data infrastructure is the backbone of informed decision-making. As a Data Engineer, you will be instrumental in developing scalable, reliable, and efficient solutions that support our advanced analytics and machine learning initiatives. You will work closely with data scientists, analysts, and software developers, bridging the gap between raw data sources and valuable business insights. Your expertise will directly contribute to enhancing our data capabilities, ensuring data quality, accessibility, and security across all platforms. This includes designing and implementing data models, building automated ETL/ELT processes, and maintaining data warehouses and data lakes using cutting-edge technologies.
This role demands a meticulous individual who is comfortable working with large, complex datasets, possesses a strong understanding of data warehousing principles, and is proficient in various ETL/ELT tools and techniques. You will be responsible for the entire data lifecycle, from ingestion and transformation to storage and governance. We are looking for someone who thrives on solving intricate data challenges, constantly seeking ways to improve data processing efficiency, enhance data reliability, and optimize system performance. Given our diverse project portfolio and potential international collaborations, excellent communication skills in English are crucial for seamless interaction with team members, technical leads, and stakeholders, ensuring clear documentation and effective knowledge sharing.
Join a collaborative environment where continuous learning and professional development are not just encouraged but actively supported. We foster a culture of innovation, empowering our team members to explore new technologies, experiment with different approaches, and implement best practices in data engineering. You will have the opportunity to work on challenging projects that have a direct impact on our business outcomes and client success. If you are ready to make a significant impact, grow your career in a dynamic setting, and contribute to cutting-edge data projects within a vibrant Montreal community, we encourage you to apply. This position is ideal for someone who is not only technically proficient but also a proactive problem-solver, a critical thinker, and an excellent team player dedicated to delivering high-quality data solutions.
Key Responsibilities
- Design, build, and maintain scalable and robust data pipelines for data ingestion, transformation, and loading.
- Develop, construct, test, and maintain architectures such as databases, data warehousing systems, and large-scale processing systems.
- Implement and optimize ETL/ELT processes to ensure data quality, integrity, and timely delivery.
- Collaborate closely with data scientists, analysts, and software engineers to understand data needs and deliver appropriate solutions.
- Monitor data systems for performance, reliability, and security, proactively identifying and resolving issues.
- Optimize data storage, retrieval, and processing for efficiency and cost-effectiveness.
- Contribute to the development and evolution of data governance policies and best practices.
- Create and maintain comprehensive documentation for data architecture, data flows, and processes.
Required Skills
- Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
- Strong programming skills in Python for data manipulation, scripting, and automation.
- Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
- Demonstrable experience with ETL/ELT tools and data warehousing concepts.
- Solid understanding of data modeling principles and data architecture design.
- Excellent problem-solving abilities and analytical skills.
- Superior verbal and written communication skills in English, suitable for technical and non-technical audiences.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of data governance frameworks and data security best practices.
- Experience with containerization technologies like Docker and Kubernetes.
- Understanding of CI/CD pipelines for data solutions.
- Bilingualism (English/French) is considered an asset.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance package.
- Generous paid time off, including vacation, sick leave, and holidays.
- Opportunities for continuous learning and professional development, including conferences and certifications.
- Modern, collaborative office environment in Hochelaga-Maisonneuve.
- Access to cutting-edge technologies and tools.
- Employee assistance program.
- Team-building events and social activities.
How to Apply
To embark on this exciting opportunity, please click the application link below and submit your resume and cover letter. We look forward to reviewing your qualifications and exploring how your expertise can contribute to Career.zycto.
