GCP, JAVA, Python/Senior Consultant Specialist

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in 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 realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist

In this role, you will :

• Bachelor’s/Master's degree in Computer Science, or related field.Understanding of Big Data technologies and solutions (Spark, Hadoop) and multiple scripting and languages (Java, Python).
• Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Data Fusion, Dataproc, Dataflow, Data Catalog, Composer, DAG, Airflow, Complex SQL, stored procedures).Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.Should have minimum of  6+ years of experience in Google Cloud Data Engineering.
• Provide technical expertise in the design and development using Google Cloud.Develops and/or re-engineers highly complex application components, and integrate software packages, programs and reusable objects residing on multiple platforms.
• Development experience on Google cloud platform to implement streaming analytics for stream and batch processing. GCP Certification is preferable.
• Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on server less infrastructure, Workflow orchestration using Google Cloud Data Engineering components DataFlow, Data proc, Cloud Functions, Cloud Composer, Data Fusion, Cloud Run, Big Query, etc