Fullstack Big Data Developer Application Development Technical Lead Analyst Vice President

Responsibilities:

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements

Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards

Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint

Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation

Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals

Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions

Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

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.

Design, develop, and maintain scalable and robust architecture for the project using Java/Python/Scala and other full stack technologies.

Manage big data technologies such as python, pyspark to ensure seamless data integration, storage, and analysis.

Collaborate with cross-functional teams including data scientists, analysts, and IT professionals to align project goals with business objectives.

Ensure compliance with data governance standards and regulations.

Mentor and provide guidance to junior engineers and developers.

Report progress, challenges, and solutions to the executive team.

Stay updated with the latest trends, tools, and technologies in data governance and full stack development.

Qualifications:

6+ years of Application development experience

• 6+ years of experience in full stack development, with a focus on Bigdata and Python/Scala.
• 6+ years experience with big data technologies such as Python, Pyspark, Hadoop, Kafka, etc.
• The primary area of Experience with Core Java/J2EE Application with complete command over OOPs and Design Patterns.
• The candidate should be commendable in Data Structures and Algorithms. He should have worked on Core Application Development of complex size encompassing all areas of Java/J2EE.
• Thorough knowledge and hands on experience in following technologies Hadoop, Map Reduce Framework, Spark, YARN, Sqoop, Pig , Hue, Unix, Java, Sqoop, Impala, Cassandra on Mesos. Cloudera certification (CCDH) is an added advantage.
• should have implemented or part complex project execution in Big Data Spark eco system, where processing volumes of data thorough understanding of distributed processing and integrated applications.
• Exposure to ETL and BI tools will be good.
• Work in an agile environment following through the best practices of agile Scrum.
• Expertise in designing and optimizing the software solutions for performance and stability.
• Expertise in troubleshooting and problem solving.
• Expertise in Test driven development.
• Proven leadership experience in managing large-scale data projects.
• A strong understanding of data governance principles and practices.
• Excellent problem-solving skills and the ability to innovate solutions.
• Strong communication and interpersonal skills, with the ability to work collaboratively.
• An ability to prioritize and manage multiple tasks effectively.

Preferred Qualifications:

The following qualifications are preferred but not required:

Experience with Angular/React.

Certifications in big data technologies or data management.

Education:

A Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent work experience

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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