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About the Role

The Chief Technology Office (CTO) Analytics Technology team is seeking a Data Development and Operations (Data DevOps) Engineer to join their cutting-edge data science platform team. This role involves optimizing data workflows and enhancing analytics capabilities across multi-cloud environments by collaborating with data engineers, data scientists, and stakeholders.

Responsibilities

• Assist in the development, deployment, and maintenance of data pipelines and workflows using Big Data technologies.
• Support data science initiatives by utilizing various data science tools.
• Collaborate with data scientists to implement machine learning models and workflows.
• Utilize data manipulation libraries for data analysis and processing.
• Develop and maintain Python 3 applications and APIs to support data workflows and analytics.
• Monitor and troubleshoot data pipelines to ensure data quality and reliability.
• Participate in the deployment lifecycle of machine learning models and applications, including MLOps and LLMOps practices.
• Work with container orchestration tools such as Kubernetes (K8s) to manage and deploy applications in cloud environments.
• Stay updated with the latest trends and technologies in data engineering, DevOps, and cloud computing.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
• Familiarity with Big Data technologies (Hadoop, HDFS, BigQuery, EMR, Snowflake, Databricks).
• Experience with data science tools (JupyterHub, MLflow, Vertex AI, Dataproc, Dataflow, Airflow).
• Experience with data manipulation libraries (pandas, NumPy, PySpark).
• Proficiency in Python, including experience in building APIs and applications.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure (Azure), and their services.
• Basic knowledge of Linux operating systems.
• Understanding of Kubernetes (K8s), MLOps/LLMOps, and experience with Large Language Models (LLMs) such as OpenAI, Claude, or Gemini (preferred).
• Applicants must be legally authorized to work in Canada as HSBC will not engage in immigration sponsorship for this position.

Skills

• Apache Hadoop
• Hadoop Distributed File System (HDFS)
• Google BigQuery (BigQuery)
• Amazon EMR (EMR)
• Snowflake
• Databricks
• JupyterHub
• MLflow
• Google Vertex AI (Vertex AI)
• Google Cloud Dataproc (Dataproc)
• Google Cloud Dataflow (Dataflow)
• Apache Airflow (Airflow)
• TensorFlow
• scikit-learn
• pandas
• NumPy
• PySpark
• Python 3 (Python)
• Application Programming Interfaces (APIs)
• Machine Learning Operations (MLOps)
• Large Language Model Operations (LLMOps)
• Kubernetes (K8s)
• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• Microsoft Azure (Azure)
• Linux
• Large Language Models (LLMs)
• OpenAI
• Claude
• Gemini

Location

• Toronto
• Vancouver

Work Type

• Full-time

Education Level

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience)

Benefits

• Access to tailored professional development opportunities.
• Competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay.
• Discretionary, annual awards (sometimes referred to as a “bonus”).
• Wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

About the Company

• HSBC's purpose is Opening up a world of opportunity, using unique expertise, capabilities, breadth, and perspectives to open new kinds of opportunity for over 40 million customers.
• HSBC Global Services (Canada) Limited (HGCA) is a wholly owned subsidiary of HSBC Global Services Limited, operating in Toronto and Vancouver as part of a global service company.
• HGCA delivers services to support the operating entities of HSBC Group, providing tools and processes for service management responsibilities.
• The Chief Technology Office (CTO) Data Technology is a data-driven shared service organization committed to unlocking value from data.
• CTO Analytics Technology is at the forefront of developing cutting-edge data science platforms across multi-cloud environments, leveraging advanced analytics and data-driven insights.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.