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We are looking for a Senior Data Architect to build and maintain - Platform Modernization, Transformation Programs. You’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.
Job Responsibility:
Design, develop, and maintain robust, scalable, and high-performance applications
Partner with architects, product owners, and cross-functional teams to design scalable and distributed system
Follow best-in-class Big Data/ETL Applications design standards, security considerations, scalability, maintainability and resource utilization aspects
Ensure high levels of unit test coverage, DevOps principles and a culture of continuous delivery and improvement
Actively contribute to hands-on coding, code reviews, and refactoring to maintain high engineering standards
Ability of analyzing the results across the environment and finding potential or existing errors in code/builds
Appropriately 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
Requirements:
10+ years of experience
Excellent Understanding of Bigdata/ETL ecosystem
Proficiency in Apache Spark development with Scala
Experience in building Spark Streaming and Batch/Live streaming applications
Strong 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 tuning
Experience of working with Linux Scripting, Kafka, Git, Maven, SSH
Well versed with creating and debugging Scala code in IntelliJ IDEA
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