HS

Lead Data Engineer / Associate Director, Data and Analytics

HSBC

5 months ago

15+ years

Hybrid

Bengaluru, Karnataka, India

  • Understand and design of the application and own any changes required to the application for any new requirements & ensure it complies with department standards.
  • Responsible for ensuring implemented solutions have sufficient and appropriate automated testing in advance of User Acceptance Testing
  • 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.
  • Big Data Technologies (Hadoop, Spark)

    Data Models

    Data Mining

    PYTHON

    scala

    Version Control (Git)

    Agile Methodologies

    Job description & requirements

    Key Responsibilities:


    1. 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.
    2. Understand and design of the application and own any changes required to the application for any new requirements & ensure it complies with department standards.
    3. Forward thinking for new technologies and required accessibility.
    4. 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)
    5. Responsible for ensuring implemented solutions have sufficient and appropriate automated testing in advance of User Acceptance Testing
    6. 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.
    7. 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
    8. 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:

    1. Bachelor’s degree in computer science engineering or related field.
    2. 12+ years of relevant IT experience.
    3. Experience in implementing data solution using Big Data technologies on-prem and cloud.
    4. Strong Knowledge on Big Data Technologies like Hadoop, Spark etc.
    5. Strong knowledge of software development methodologies
    6. Technical expertise with data models, data mining, and segmentation techniques
    7. Programming experience in a modern language (e.g., Scala and Python)
    8. Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
    9. Good experience on Agile Methodologies like Scrum, Kanban, and managing IT backlog.
    10. Passion for technology and understanding how things work, actively keeps themselves up to date.
    11. Ability to work across geographies, understanding the diversity and bringing people together.


    Experience :

    15+ years

    Job Domain/Function :

    Data Engineering

    Job Type :

    Hybrid

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location 1 :

    Bengaluru, Karnataka, India, Bengaluru, Karnataka, India

    Location 2 :

    Pune, Maharashtra, India, Maharashtra, India

    Location 3 :

    Hyderabad, Telangana, India, Telangana, India

    Create alert for similar jobs

    Similar Jobs