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Lead Data Engineer / Associate Director, Data and Analytics

Lead Data Engineer / Associate Director, Data and Analytics

ConfidentialPune, India
10 days ago
Job description

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 organizations 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 realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics

Key Responsibilities :

  • Technically lead team and liaise with business stakeholders to ensure that business requirements are fully understood before commencing design and development. Hands-on coding and helping team members solve technical problems and provide technical SME knowledge and guidance.
  • Understand and design of the application and own any changes required to the application for any new requirements & ensure it complies with department standards.
  • Forward thinking for new technologies and required accessibility.
  • Guide developers in implementing best-of-breed technical solutions based on agreed technical design, adopting industry standard development patterns and methodologies (including continuous integration and automated unit and integration testing)
  • Responsible for ensuring implemented solutions have sufficient and appropriate automated testing in advance of User Acceptance Testing
  • Managing continual service improvement - ensuring incremental improvements to the Service, corrective measures to recover service performance, and eventually the demise of the Service when it is no longer required.
  • Lead from the front and demonstrate excellence in owning the end-to-end delivery of software from analysis through to release to production and support. We deliver each change to production before moving onto the next.

Requirements

Qualifications - External

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

  • Bachelor's degree in computer science engineering or related field.
  • 12+ years of relevant IT experience.
  • Experience in implementing data solution using Big Data technologies on-prem and cloud.
  • Strong Knowledge on Big Data Technologies like Hadoop, Spark etc.
  • Strong knowledge of software development methodologies
  • Technical expertise with data models, data mining, and segmentation techniques
  • Programming experience in a modern language (e.g., Scala and Python)
  • Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
  • Good experience on Agile Methodologies like Scrum, Kanban, and managing IT backlog.
  • Passion for technology and understanding how things work, actively keeps themselves up to date .
  • Ability to work across geographies, understanding the diversity and bringing people together .
  • You'll achieve more when you join HSBC.

    www.hsbc.com / careers

    HSBC is 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. 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 Software Development India

    Skills Required

    Jenkins, Scrum, data models, Big Data Technologies, Github, Jira, Agile Methodologies, Ansible, Hadoop, Data Mining, Kanban, Python, Git, Scala, Spark

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