Full Time || Big Data Engineer || Vancouver, BC (On-site)
About the role
Job Description As a Big Data Engineer create and maintain the architecture and systems using distributed computing frameworks. Design
and build integrations between internal systems to support planning, forecasting, and scenario modelling. Operationalize ML
models for demand forecasting, inventory optimization, and supply chain analytics. Develop intuitive tools for planners and
business users to interact with forecast, adjust plans, and simulate outcomes. Establish and maintain CI/CD pipelines using
Gitlab to automate testing, deployment, and monitoring. Drive agile product development, working closely with Product, UX,
and Planning teams to deliver high-impact features. Mentor engineers and promote best practices in architecture, testing,
and DevOps.
Champion Strong Engineering Practices, Including
- Test-driven development (TDD)
- Code reviews and pair programming
- Scalable architecture and modular design
- Observability, logging, and performance monitoring
Key Responsibilities
- 8+ years of experience in software engineering, with 2+ years in technical leadership role.
- Strong full stack development skills with modern frameworks (React, Next.js, Node.js).
- Experience with Python (Pytest), Pandas, or ML libraries (e.g., Prophet, XGBoost, TensorFlow).
- Experience with streaming frameworks such as Kafka
- Knowledge of SQL, ETL, Data-warehousing and data-modelling techniques
- Experience with Snowflake, Airflow, Postgres, or similar cloud offerings.
- Proven experience implementing and managing CI/CD pipelines and automated testing frameworks.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Excellent communication and cross-functional collaboration skills.
- Anaplan model building experience is a plus.
About Smart IT Frame LLC
Smart IT Frame stands as a leading NMSDC-certified IT Solutions and Servicing company, founded in 2012 with headquarters in Somerset, New Jersey. Our commitment to promoting Diversity, Equality, and Inclusion (DEI) values is unwavering. With our expertise, we support client initiatives by offering innovative IT solutions and services to leading System Integrators in the private and public sectors.
Specializing in a comprehensive range of end-to-end services, including Artificial Intelligence (AI), Machine Learning (ML), IT Innovation and solutions, Cloud-based solutions, robotics process automation (RPA), cybersecurity, Identity Access Management (IAM), and more, to ensure cutting-edge solutions for our clients.
Since our establishment, we've dedicated ourselves to providing exceptional services globally. Our success stories span across various industries, including banking and finance, insurance, healthcare, retail, telecommunications, manufacturing, and more.
Collaborating with Smart IT Frame ensures expert, top-notch services and dedicated support from a team committed to driving your success. We strive to exceed client expectations, fostering long-term relationships built on trust, reliability, and exceptional results.
Full Time || Big Data Engineer || Vancouver, BC (On-site)
About the role
Job Description As a Big Data Engineer create and maintain the architecture and systems using distributed computing frameworks. Design
and build integrations between internal systems to support planning, forecasting, and scenario modelling. Operationalize ML
models for demand forecasting, inventory optimization, and supply chain analytics. Develop intuitive tools for planners and
business users to interact with forecast, adjust plans, and simulate outcomes. Establish and maintain CI/CD pipelines using
Gitlab to automate testing, deployment, and monitoring. Drive agile product development, working closely with Product, UX,
and Planning teams to deliver high-impact features. Mentor engineers and promote best practices in architecture, testing,
and DevOps.
Champion Strong Engineering Practices, Including
- Test-driven development (TDD)
- Code reviews and pair programming
- Scalable architecture and modular design
- Observability, logging, and performance monitoring
Key Responsibilities
- 8+ years of experience in software engineering, with 2+ years in technical leadership role.
- Strong full stack development skills with modern frameworks (React, Next.js, Node.js).
- Experience with Python (Pytest), Pandas, or ML libraries (e.g., Prophet, XGBoost, TensorFlow).
- Experience with streaming frameworks such as Kafka
- Knowledge of SQL, ETL, Data-warehousing and data-modelling techniques
- Experience with Snowflake, Airflow, Postgres, or similar cloud offerings.
- Proven experience implementing and managing CI/CD pipelines and automated testing frameworks.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Excellent communication and cross-functional collaboration skills.
- Anaplan model building experience is a plus.
About Smart IT Frame LLC
Smart IT Frame stands as a leading NMSDC-certified IT Solutions and Servicing company, founded in 2012 with headquarters in Somerset, New Jersey. Our commitment to promoting Diversity, Equality, and Inclusion (DEI) values is unwavering. With our expertise, we support client initiatives by offering innovative IT solutions and services to leading System Integrators in the private and public sectors.
Specializing in a comprehensive range of end-to-end services, including Artificial Intelligence (AI), Machine Learning (ML), IT Innovation and solutions, Cloud-based solutions, robotics process automation (RPA), cybersecurity, Identity Access Management (IAM), and more, to ensure cutting-edge solutions for our clients.
Since our establishment, we've dedicated ourselves to providing exceptional services globally. Our success stories span across various industries, including banking and finance, insurance, healthcare, retail, telecommunications, manufacturing, and more.
Collaborating with Smart IT Frame ensures expert, top-notch services and dedicated support from a team committed to driving your success. We strive to exceed client expectations, fostering long-term relationships built on trust, reliability, and exceptional results.