HSBC Group

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

We are currently seeking an experienced professional to join our team in the role of LEAD CONSULTANT SPECIALIST. 

Business: Enterprise Technology 

Principal responsibilities

The Person is responsible for developing and managing the infrastructure required for the products. The Engineer will be responsible for designing, deploying, and maintaining the cloud computing systems and networks, as well as developing and managing tools to automate the process. Also, to setup monitoring and observability of systems.  

In this role, you will:

• Contribute to digital environment and automate processes to minimize variation and ensure predictable high-quality code and data. Apply innovation and creativity to automate manual tasks.
• Working with other Full Stack Engineers to ensure operational issues (performance, operator intervention, alerting, design defect related issues, etc.) are identified and addressed at all stages of a product or service release / change.
• Create technical test plans and records, including unit and integration tests, within automated test environments to ensure code quality.
• The role is responsible to undertake activities on system level design and development, deployment (CTB) of the code, testing and deployment as well as support the production processing (RTB).
• Be involved in actual implementation of solutions, performing impact assessments, performance tuning, testing and deployments throughout the delivery cycle. Utilize the technical skills and expertise to carry out /help team to do software development, testing and operational support activities with the ability to move between these from time to time according to demand.
• Liaise with other engineers, architects, and business stakeholders to understand and drive the product or service’s direction.
• Create robust CI-CD pipelines with all security aspects to meet requirements,
• Enabling automated test environments to ensure code quality aspect.
• Work closely with the other support teams, collaborate with vendor consultants at times with a strong customer focus and end to end journeys.
• Ensure the service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered. Actively participate in and drive the mandatory exercises from time to time on resilience, recovery, and service management. Support on-call and work in Shifts as per the agreed plans when required.
• Responsible for automating the continuous integration / continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement. Also, should be aware of the various code scanning findings and provide meaningful remediation solutions.
• Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering or data management roles, with a strong focus on data warehousing and data lake solutions.
• Proven experience in leading and mentoring data engineering teams.
• Expertise in designing and implementing complex data models, including dimensional modeling and star schema.
• Strong SQL skills and proficiency in at least one programming language (e.g., Python, Java).
• Experience with data warehouse technologies such as Doris, ClickHouse, Snowflake, AWS Redshift, or Google BigQuery.
• Experience with data processing frameworks such as Apache Flink.
• Experience with workflow management tools like Apache Airflow.
• Experience with data visualization tools such as Superset or similar open-source solutions.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.
• Experience with as least one cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with data governance and data security best practices.
• Experience with data science and machine learning concepts.

HSBCKL/XA*

About HSBC Technology China

We develop, implement and support software and IT services and processes that allow HSBC to remain at the forefront of high-quality banking systems.

You’ll achieve more when you join HSBC.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role. 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. 

***Issued By HSBC Software Development (GuangDong) Limited***