Data Engineer/ Consultant Specialist

Job Description

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 Marketing Title. In this role, you will: This role will be responsible for: Develop and support new feeds ingestion / understand the existing framework and do the development as per the business rules and requirements. Development and maintenance of new changes / enhancements in Data Ingestion / Juniper and promoting and supporting those in the production environment within the stipulated timelines. Need to get familiar with the Data Ingestion / Data Refinery / Common Data Model / Compdata frameworks quickly and contribute to the application development as soon as possible. Methodical and measured approach with a keen eye for attention to detail; Ability to work under pressure and remain calm in the face of adversity; Ability to collaborate, interact and engage with different business, technical and subject matter experts; Good, concise, written and verbal communication Ability to manage workload from multiple requests and to balance priorities; Pro-active, a can do mind-set and attitude; Good documentation skills Requirements To be successful in this role, you should meet the following requirements: Experience (1 = essential, 2 = very useful, 3 = nice to have): 1. Hadoop / Hive / GCP 2. Agile / Scrum 3. LINUX Technical skills (1 = essential, 2 = useful, 3 = nice to have): 1. Any ETL tool 1. Analytical trouble shooting. 2. Hive QL 1. On-Prem / Cloud infra knowledge