At a Glance
- Tasks: Build and optimize large-scale data processing systems in a cloud-native environment.
- Company: Pozent, a rapidly growing company focused on digital and AI-driven solutions.
- Benefits: Exciting global projects, skill development, and clear career progression.
- Other info: Join a dynamic innovation ecosystem that empowers you to learn and grow.
- Why this job: Directly impact business growth while working with cutting-edge technologies.
- Qualifications: Strong Python and PySpark skills, experience with Apache Spark and large-scale data systems.
The predicted salary is between 121500 - 148500 $ per year.
Location: Toronto, ON (4 Days onsite/week)
Start date: ASAP
Project Description
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing systems in a cloud-native environment. You are expected to independently design and deliver scalable data solutions with minimal oversight. This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively. This role is for subcontractors engagement.
Responsibilities
- Develop and optimize Spark-based workloads in cloud environments
- Work with large-scale datasets using modern storage formats.
- Collaborate with stakeholders to translate data requirements into robust engineering solutions
- Ensure high performance, reliability, and maintainability of data platforms
- Contribute to production readiness, including monitoring, documentation, and deployment
Skills - Must have
- Strong Python with PySpark
- Hands-on experience with Apache Spark (preferably in cloud environments)
- Experience working with large-scale data systems
- Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
- Experience with Databricks
- Prior consulting, advisory, or client-facing delivery experience
- Ability to operate effectively in ambiguous environments
- Proven independent delivery without close supervision
- Strong problem-solving and continuous improvement mindset
Nice to have
- AWS data services (Glue, Lake Formation)
- Workflow orchestration tools (Airflow)
- Experience with distributed data processing architectures
- Capital markets experience
Why This Role
Opportunity to directly impact business growth by identifying and hiring the right IT talent for critical projects. Hands-on exposure to diverse technologies and stakeholders, strengthening recruitment and domain expertise.
Company Name: Pozent
Pozent is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients and achieve measurable business outcomes. Our team is geared towards innovation and thrives where talent meets opportunity. We work on Generative AI, Cloud, Data Engineering, Automation, and Full-Stack Development, delivering impactful projects.
Why Join Us
Exciting Global Projects and career growth: Work directly with top clients and cutting-edge technologies providing a rapid learning curve, skill development, and clear career progression. Innovation Culture and supportive environment: You are not just joining a company - you're becoming part of a dynamic innovation ecosystem that empowers you to learn, explore, create, grow and lead.
Senior Data Engineer – Hybrid in Toronto employer: Pozent Corporation
Pozent Corporation is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI technology. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and the chance to lead cutting-edge GenAI projects that make a real impact. Join us to grow your career while working alongside talented professionals dedicated to pushing the boundaries of AI solutions.
