About the Role: We are looking for a Senior Big Data Solution Architectto build and maintain - Platform Modernization, TransformationProgramsYou'll be part of a Core Accounts Data team that's responsible for the full software development life cycle, upholding best-in-class engineering standards and modern methodologies.This role involves writing code, collaborating with other developers,understanding business requirements, developing technical solutions, collaborating with other business partners, breaking down acceptance criteria to understand team backlog deliverables, complexities, and risks, and contributing effectively to an agile team.Key Responsibilities: Design, develop, and maintain robust, scalable, and high-performance applicationsPartner with architects, product owners, and cross-functional teams to design scalable and distributed systemFollowbest-in-class Big Data Applications design standards, security considerations, scalability, maintainability and resource utilization aspectsEnsure high levels of unit test coverage, DevOps principles and a culture of continuous delivery and improvementActively contribute to hands-on coding, code reviews, and refactoring to maintain high engineering standardsAbility of analyzing the results across the environment and finding potential or existing errors in code/buildsAppropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Mentor junior engineers and foster a culture of engineering excellence and continuous learning. Skills and Qualifications: Significant experienceGood Understanding of Bigdata and Spark ecosystemProficiency inApache Spark development with ScalaExperience in building Spark Streaming and Batch applicationsStrong experience in creating applications for Big Data and other Data & Analytics technologies (Spark, Scala, Hadoop, Hive etc.
)Ability to analyze Spark job performance in Spark UI and apply required performance tuningExperience of working with Linux Scripting, Kafka, Git, Maven, SSHExperience with API development and use of JSON/XML/Hypermedia data formats.Strong development/automation skillsExperience with all aspects of DevOps (source control, continuous integration, deployments, etc.
)Well versed with creating and debugging Scala code in IntelliJ IDEAGood problem solving skills Education: Bachelor's degree/University degree or equivalent experienceMaster's degree preferred
This job description provides a high-level review of the types of work performed.
Other job-related duties may be assigned as required.
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Full time------------------------------------------------------ Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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