Data AI Engineer/Senior Software Engineer

In this role, you will:

1. Responsible for ensuring the effective delivery of technology services through support and maintenance of the Digital and Data technology estate, and the design, build and delivery of new services as well as management of existing services.
2. Creating Data pipelines for Consolation of Data from multiple streams and further use for reporting
3. Responsible for the delivery and rollout of strategic Digital and Data Technology platform globally, in line with the roadmap agreed with the business.
4. Build excellent relationships with Product, Product Delivery and Operations teams to help create a “one team” approach to planning and delivery.
5. Identifies and removes barriers to success. Always acts in the HSBC’s best interests and willing to openly discuss potentially difficult topics.
6. Promotes agile transformation and deployment methodologies, and helps with adoption of moving from “Project to Product”, along with Product, Product Delivery and Operations peers.
7. Promotes and takes accountability for quality; identifies opportunities to improve delivery and oversees the governance process to reduce risk and ensure effective and timely decisions
8. Promote a positive work culture based on respect for people, integrity of actions, creativity and collaboration leading to increased productivity
9. Inspire confidence in the future vision and generate excitement, enthusiasm and commitment.
10. Demonstrable ability to gather requirements, analyse, question and produce technical documentation
11. Provide technical development expertise to convert business requirements into appropriate technical solutions

Requirements

To be successful in this role, you should meet the following requirements:

1. Experience in implementing data analytics, automation AI use cases
2. Proficiency in writing SQL Queries
3. Hands-on Experience GCP Bigquery
4. Hands-on Experience in creating data pipeline in Bigquery
5. Hands-on experience in Airflow Dags
6. Understanding of relational data model
7. Hands-on experience in build Management tools like Ansible, Code repository GitHub and in continuous integration and deployment tools
8. Experience in Problem solving and critical thinking