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Big Data Engineer (Java & Spark)_Senior Associate_ ADA

3.00 to 5.00 Years   Hyderabad   22 Jun, 2022
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    * Senior Associate/Big Data Engineer/ADA Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels. Requirement -
    • Bachelor s degree in Software Engineering or Computer Science.
    • 6+ years of hands on experience in Hadoop, Spark, Java, SpringBoot.
    • 3-5 years of proven software development experience with Bigdata full stack engineering.
    • Collaborate with cross-functional teams to define, design, and ship new features.
    • Design and build applications using Java and related technology.
    • Implement core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premise or public-cloud environment, where everything is automated.
    • Solid hands on experience of Java/J2EE and framework such as Spring, Kubernetes, etc
    • Knowledge of build tools Maven, Gradle and DevOps environment using tools such as Git (Bitbucket), Continuous Integration (Jenkins) and Continuous Deployment (Fastlane).
    • Code with security and data protection.
    • Experience in problem solving and root-cause analysis on any errors during the process of Software Development Life Cycle (SDLC) implementation and provide audit and compliance support when required.
    • Experience in automated testing is an advantage.
    • Self-motivated team player who demonstrates initiative and flexibility.
    • Customer focused attitude, sensitivity to the changing and often escalated needs of the business.
    • Strong organizational skills, with the ability to handle and prioritize multiple tasks.
    • Good to have working with code quality tools such as Sonar, Fortify or NexusIQ will be advantageous.
    • Tech stack: Hadoop, Spark, Hive, Java, Spring, Spring boot, Spring Webservices, Spring Cloud , Microservices, Kafka, Jenkins, git, Maven, Kubernetes, OpenShift, AWS, GCP, Dockers, Cassandra and Linux.
    Responsibilities
    • Design and implement key components for highly scalable, distributed data collection and analysis system built for handling petabytes of data in the cloud.
    • Work with architects from other divisions contributing to this analytics system and mentor team members on best practices in backend infrastructure and distributed computing topics.
    • Analyze source data and data flows, working with structured and unstructured data.
    • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends.
    • Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely.
    ,

Keyskills :
javahivebig datahadoopapache webserversoftware development life cycletest driven developmentlife cyclespring bootbuild toolsweb services

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