Big Data Engineering Lead

Full-Time
Irving, TX
Citi
Posted 3 years ago – Accepting applications

Job Description

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do. We keep the bank safe and provide the technical tools our workers need to be successful. We design our digital architecture and ensure our platforms provide a first-class customer experience. Our operations teams manage risk, resources, and program management. We focus on enterprise resiliency and business continuity. We develop, coordinate, and execute strategic operational plans. Essentially, Enterprise Operations & Technology re-engineers client and partner processes to deliver excellence through secure, reliable, and controlled services.

Global Functions Technology is a diverse organization comprised of more than 15,000 talented professionals with some of the brightest minds – all working together to realize Citi’s Vision of growth and economic progress. As a group, we partner with the Finance, Risk, Compliance, and Human Resources teams to drive the delivery of innovative technology solutions using common data, analytics, and platforms. Our technology operates in real-time environments, capturing and managing market, transaction, and accounting data, as well as the data from millions of customers daily. Our solutions cover all products and geographies in which Citi does business. We are the backbone for reporting across the bank, satisfying our regulatory commitments, enabling our businesses to be nimbler and helping to safeguard customer assets through highly effective controls.

Our commitment to diversity includes a workforce that represents the clients we serve globally from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

We are looking for a highly motivated, self-starter Data Engineering Lead with a passion for data and with the ability to drive multiple projects on our Big Data Platform. This role requires at-least 4-5 years’ experience of hands-on experience. We are looking for somebody who can not only manage a small team but also be technically involved in the day-to-day work and contribute technically as and when needed. Experience working in the financial industry within the Institutional business would be a plus. This is a hands-on development role that will offer exposure to the full development cycle, whilst working closely with our business and technology stakeholders.

As a key member of the data engineering team, you will work closely with full stack data engineers, product managers, cross-functional partners and the larger technology organization to get high-quality products and new features built, tested, and released on time for Data Technology, part of Treasury & Trade Services at Citi.

You will be responsible for many fast-changing, moving parts and get them to come together as a product.
You will need excellent communication and collaboration skills.
You will be responsible for identifying and managing risks, making sound judgments about quality, and speed of deliverables and deployment to production.
You will be a key player in our Data transformation to digitize our business
You will be responsible for leading development on Vanguard the TTS Big Data platform

Background

The Vanguard platform supports operational real-time event-based processing and compute applications as well as analytics consumption use cases including machine/deep learning.

The technology team is responsible for building and maintaining a multitude of applications including:

Real-time ingestion/stream processing and data distribution via Big Data APIs
Build out back-end and front-end for the data catalog tool
Implement best in class data management and data ingestion.
Leverage new storage engines like Kudu that enables analytics on fast changing data
Leverage GPU implementation to enable advanced Machine Learning
Enhance Self-Service capability for data science and ML practitioners

Core Responsibilities

This role is for a Data Engineering Lead to work on the Vanguard Big Data Platform. The team is responsible for the maintenance and development of leading Big Data initiatives and use cases providing business value.

Interface with product teams to understand their requirements to build the data catalog back-end and front-end layer for consumption by business
Work closely with the data ingestion team to track the requirements and drive the build out & implementation of the data catalog
Provide guidance to the data conformance team for implementing the requirements/changes/enhancements to the conformance model
Do hands-on development as part of the data catalog team to deliver the business requirements
Manage the workload of the team and the scrum process to align it with the objectives and priorities of the product owners
Participate in data management activities related to the Risk and Regulatory requirements as needed.
Work closely with the data ingestion team to manage any ingestion overflows as needed.

Core Skills

The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big Data Platform. The lead will need the below core skills:

Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
Hands-on experience working with Hive, Impala and Hbase for data curation/conformance related work
Strong proficiency in Spark and Python (Scala knowledge is beneficial) for development work related to curation/conformance. Strong Scala developer (with previous Java background)
Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event-based messaging
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting
Experience working in an agile environment with a fast-paced changing requirement.
Excellent planning and organizational skills
Strong Communication skills

About Citi

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

Job Family Group:

Technology

Job Family:

Applications Support

Time Type:

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.

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