If you're looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you'll be. HSBC is one of the largest banking and financial services organizations the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realis their ambitions.

We are currently seeking an experienced professional to join our team in the role Platform DevOps Engineer

Platform DevOps Engineer will be part of core big data platform technology team that underpins the entire Wholesale Data & Analytics Technology. Person would be entrusted to provide solutions to bespoke large system problems involving the processing of significant data sets, including analysing, monitoring, and troubleshooting. A key skill will be to engaged with internal and external application teams to ensure the smooth running of a key future bank system.

As a key member of the technical team alongside Engineers and Data Users, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process:

• Active involvement in achieving the strategic goals of the Wholesale Data & Analytic steam by delivering a stable platform to host data-based insights for users, focusing on Cloudera (Hadoop) technologies.

• Implement the tools and processes, handling performance, scale, availability, accuracy, and monitoring Product support & troubleshooting.

• Integrating with an established, complex Multi-tenant Cloudera based project working to tight deadlines.

• Working with globally dispersed and diversifies team.

Requirements

Knowledge

• Demonstrated competence working in Linux environment

• Experience working with Big Data tools and building high performance, high throughput, and distributed data pipeline and big data platform with Coudera (Hadoop), Spark, Kakfa, Hive, and Presto.

• Experience in building tools to diagnose and fix complex distributed systems handling petabytes of data & drive opportunities to automate infrastructure, deployments, and observability of data services.

• Experience in testing, monitoring, administering, optimizing and operating multiple Cloudera / Spark clusters across cloud providers - GCP and on premise data centres, primarily in Python , Java and Scala.

• Strong background in enterprise development techniques.

• Experience with platform team focus areas including:

• automation tools like Jenkins or Ansible.

• running workloads on clusters and operating Cloudera or Spark clusters.

• time with Python/shell, Kubernetes and /or any cloud environment.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

At HSBC we offer our colleagues a greater number of leave days so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid leave package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well-being, balance and care.

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 personsirrespective 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 Electronic Data Process Mexico Private LTD***