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Senior Big Data Engineer - AVP

• The Senior Big Data Engineer role is a hands on technical development role participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The position is in a critical Risk and Finance group responsible for Data. The applications within the scope play a critical role for serving multiple use cases for Market Risk , Credit Risk , Price Risk and Control, Finance, FO and internal reconciliations functions. The data needs ranges from low retention/low latency requirement for fast compute purposes to deep retention/acceptable latency with focus on data quality and standards. The current data stack is fragmented across multiple data instances and the group is gearing towards a convergence strategy to consolidate data points to a strategic set of data instances . The aim to hire this role is to assure critical software development in delivering towards the convergence strategy forward.• Responsibilities:• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems• Ensure essential procedures are followed and help define operating standards and processes• Serve as advisor or coach to new or lower level analysts• Has the ability to operate with a limited level of direct supervision.• Can exercise independence of judgement and autonomy.• Acts as SME to senior stakeholders and /or other team members.• 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.Qualifications:• 5-8 years of relevant experience• Experience in systems analysis and programming of software applications• Experience in managing and implementing successful projects• Working knowledge of consulting/project management techniques/methods• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirementsEducation:• Bachelor’s degree/University degree or equivalent experienceRequired Skills (Essential)• Programming skills – including concurrent, parallel and distributed systems programming• Advanced level knowledge of Java• Advanced level experience with HTTP, ReSTful web services and API design• Messaging technologies (Kafka)• Experience with Bigdata technologeis Developer Hadoop , Apache Spark ,Python, PySpark• Experience with Reactive StreamsDesirable Skills:• Messaging technologies• Familiarity with hadoop SQL interfaces like hive, spark sql, etc.• Experience with Kubernetes• Good understanding of the Linux OS• Experience with Gradle, Maven would be beneficial• Data Science and model building experience------------------------------------------------------Job Family Group:Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Primary Location:Jersey City New Jersey United States------------------------------------------------------Primary Location Full Time Salary Range:$121,200.00 - $181,800.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------Anticipated Posting Close Date:Dec 25, 2024------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View the "EEO is the Law" poster. View the EEO is the Law Supplement.View the EEO Policy Statement.View the Pay Transparency Posting
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What You Should Know About Senior Big Data Engineer - AVP, Citi

If you’re passionate about data and looking to elevate your career, the role of Senior Big Data Engineer at AVP in Jersey City, NJ could be your next big adventure! In this hands-on position, you will dive deep into the world of risk and finance, collaborating with a dynamic Technology team to develop cutting-edge applications that power critical business functions. You’ll be at the forefront of a strategic convergence strategy aimed at consolidating fragmented data sources into a cohesive ecosystem that supports Market Risk, Credit Risk, Price Risk, and more. The pace is fast, and the challenges are complex, meaning you’ll need a solid foundation in technologies like Hadoop, Apache Spark, and messaging systems like Kafka. Get ready to engage in things like feasibility studies, project management, and user support, all while establishing top-notch applications tailored to meet evolving business needs. With responsibilities that range from providing operational support to serving as a Subject Matter Expert to senior stakeholders, this role is perfect for someone who thrives under pressure and is eager to lead. If you're ready to use your advanced programming skills, and proven expertise in data technologies, and make a meaningful impact, we’d love to have you on our team at AVP!

Frequently Asked Questions (FAQs) for Senior Big Data Engineer - AVP Role at Citi
What are the key responsibilities of the Senior Big Data Engineer at AVP?

As a Senior Big Data Engineer at AVP, your responsibilities will include conducting feasibility studies, providing IT planning, developing applications, and managing all phases of the software development lifecycle. You'll also monitor system performance, support business users, and recommend advanced programming solutions to enhance operational efficiency.

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What qualifications are required to be a Senior Big Data Engineer at AVP?

To qualify for the Senior Big Data Engineer position at AVP, you need 5-8 years of relevant experience in systems analysis and software application programming, a Bachelor's degree, and programming expertise, particularly in Java, Hadoop, and Apache Spark. Familiarity with messaging technologies and a solid understanding of Linux is also desirable.

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What programming skills are essential for the Senior Big Data Engineer position at AVP?

Essential programming skills for the Senior Big Data Engineer at AVP include advanced knowledge of Java, experience with distributed systems programming, and proficiency in Big Data technologies like Hadoop and Apache Spark. Familiarity with messaging systems such as Kafka will also be crucial for your success in this role.

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How does the Senior Big Data Engineer contribute to risk management at AVP?

In the Senior Big Data Engineer role at AVP, you'll play a vital part in risk management by developing and maintaining applications that support Market Risk, Credit Risk, and other critical functions. Your work will help ensure data quality and compliance while driving strategic initiatives that enhance risk assessment and decision-making across the organization.

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What kind of projects will a Senior Big Data Engineer at AVP work on?

A Senior Big Data Engineer at AVP will engage in various projects focused on application development, data consolidation, and risk technology enhancements. This includes participating in the convergence strategy for data architecture, improving system functionalities, and consulting on advanced programming solutions to meet business needs.

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Common Interview Questions for Senior Big Data Engineer - AVP
Can you describe your experience with Big Data technologies?

Certainly! Share specific projects where you used Hadoop or Apache Spark, detailing the challenges faced and how you overcame them. Highlight your hands-on experience and any notable outcomes or efficiency gains resulting from your work with these technologies.

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How do you ensure the quality of data in your engineering projects?

Discuss your approach to data quality, such as implementing rigorous testing practices, establishing data standards, and addressing issues proactively. Provide examples of how you've previously ensured high-quality data in past projects.

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What strategies do you use for project management within technology teams?

You might explain your use of methodologies like Agile or Scrum and how you facilitate communication within the team. Elaborate on how you prioritize tasks and manage stakeholder expectations throughout the project lifecycle.

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How do you stay updated on the latest technologies in Big Data?

Share your methods for keeping up with advancements in technology, such as attending industry conferences, participating in online forums, taking courses, or engaging with thought leaders on platforms like LinkedIn.

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Describe a time when you faced a significant challenge in a project and how you overcame it.

Provide a specific example showing the challenge, your analysis, the innovative solutions you implemented, and the positive results that followed. This demonstrates your critical thinking and problem-solving skills.

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What is your experience with API design and integration?

Discuss your practical experience with HTTP, RESTful web services, and how you've designed APIs to meet specific business needs. Highlight any challenges in integration and your strategies for overcoming them.

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How do you approach collaboration with non-technical stakeholders?

Emphasize your communication skills and ability to break down complex technical concepts into understandable terms. Share examples of how you've successfully collaborated with business users to meet their needs and feedback.

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What motivates you to work in Big Data engineering?

Discuss your passion for data and technology, how they drive business decisions, and mention specific projects or experiences that have reaffirmed your interest in Big Data engineering.

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How do you handle tight deadlines and unexpected changes in project requirements?

Describe your time management skills and the importance of flexibility in your approach. Provide instances from your experience where you successfully adapted to changes while still delivering results on time.

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Can you explain your understanding of Kubernetes and its relevance to Big Data engineering?

Share your knowledge of Kubernetes and its role in managing containerized applications, particularly in scaling and managing Big Data environments. Discuss relevant experiences with using Kubernetes in your projects.

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Citi’s mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capi...

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DATE POSTED
December 22, 2024

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