Hadoop Data Engineer/Software Engineer

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 Software Engineer In this role you will be Expertise in Scala-Spark/Python-Spark development and should be able to Work with Agile application dev team to implement data strategies. Design and implement scalable data architectures to support the banks data needs. Develop and maintain ETL (Extract, Transform, Load) processes. Ensure the data infrastructure is reliable, scalable, and secure. Oversee the integration of diverse data sources into a cohesive data platform. Ensure data quality, data governance, and compliance with regulatory requirements. Monitor and optimize data pipeline performance. Troubleshoot and resolve data-related issues promptly. Implement monitoring and alerting systems for data processes. Troubleshoot and resolve technical issues optimizing system performance ensuring reliability. Create and maintain technical documentation for new and existing system ensuring that information is accessible to the team. Implementing and monitoring solutions that identify both system bottlenecks and production issues. Requirements To be successful in this role, you should meet the following requirements: Experience in data engineering or related field and hands-on experience of building and maintenance of ETL Data pipelines Good experience in Designing and Developing Spark Applications using Scala or Python. Good experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark) Proficiency in programming languages such as Python, Java, or Scala. Optimization and Performance Tuning of Spark Applications GIT Experience on creating, merging and managing Repos. Perform unit testing and performance testing. Good understanding of ETL processes and data pipeline orchestration tools like Airflow, Control-M. Strong problem-solving skills and ability to work under pressure. Excellent communication and interpersonal skills.