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    Big Data Developer - India, Pune - Deutsche Bank

    Deutsche Bank
    Deutsche Bank background
    Full time Accounting / Finance
    Description

    Big Data Developer

    Position Overview

    Job Title: Big Data Developer

    Location: Pune, India

    Role Description - Summary:

    Deutsche Bank is actively renewing its digital channels and has started many strategic and challenging projects. Next to some major technological changes Deutsche Bank has decided to step into the Agile software development methodology in order to improve its agility and reduce time to market without scarifying quality

    As a senior developer you will bring Java design and development skills to enforce the group of developers within a Squad. You will extensively make use and apply Continuous Integration tools and practices in the context of Deutsche Bank's digitalization journey.

    What we'll offer you

    As part of our flexible scheme, here are just some of the benefits that you'll enjoy

    • Best in class leave policy
    • Gender neutral parental leaves
    • 100% reimbursement under child care assistance benefit (gender neutral)
    • Flexible working arrangements
    • Sponsorship for Industry relevant certifications and education
    • Employee Assistance Program for you and your family members
    • Comprehensive Hospitalization Insurance for you and your dependents
    • Accident and Term life Insurance
    • Complementary Health screening for 35 yrs. and above

    Your key responsibilities

    Key Responsibilities / Tasks:

    Experience - 5+ Years

    • The primary job of a Hadoop Developer involves coding. They are basically software programmers, working in the
    • Big Data Hadoop domain. They are adept at coming up with the design concepts that are used for creating
    • Extensive software applications.
    • Have knowledge of the agile methodology for delivering software solutions
    • Ability to work with huge volumes of data so as to derive Business Intelligence
    • Knowledge to analyze data, uncover information, derive insights, and propose data-driven strategies
    • Knowledge of OOP languages like Java, C++, and Python
    • Understanding of database theories, structures, categories, properties, and best practices
    • Knowledge of installing, configuring, maintaining, and securing Hadoop
    • Analytical mind and ability to learn-unlearn-relearn concepts
    • Be an expert in newer concepts like Apache Spark and Scala programming
    • Seamlessly convert hard-to-grasp technical requirements into outstanding designs
    • Have working knowledge of SQL, NoSQL, data warehousing, and DBA
    • Acquire complete knowledge of the Hadoop ecosystem.

    How we'll support you

    • Training and development to help you excel in your career
    • Flexible working to assist you balance your personal priorities
    • Coaching and support from experts in your team
    • A culture of continuous learning to aid progression
    • A range of flexible benefits that you can tailor to suit your needs

    About us and our teams

    Please visit our company website for further information:

    Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
    We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

    Visit to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.


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