StoneX

Tech Lead - Data Engineering

Job Locations IN-Pune
Requisition ID 2024-12053
Category (Portal Searching)
Information Technology
Position Type (Portal Searching)
Experienced Professional

Overview

Connecting clients to markets – and talent to opportunity

 

With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

 

At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.

Commercial: With boots on the ground authenticity at the heart of everything we do, our comprehensive array of commercial products and services enable you to work directly with our clients, across hedging, risk management, execution and clearing, OTC products, commodity finance and more.

 

Responsibilities

Position Purpose

This is a technology lead role within the Global Customer Data Department at StoneX. This role will actively collaborate with other technology leads for delivery of ongoing data projects. As a contributing senior data engineer and a tech lead the role will assist in architecting, designing and implementing components within our cloud data platform for ongoing operations and new data projects.

 

Primary Duties

  • Contribute and lead a team deliverable within define project scope with attention to detail for both data and technical aspects.
  • Understands system protocols, how systems operate and data flows. Aware of current and emerging technology tools and their benefits. Understands the building blocks, interactions, dependencies, and tools required to complete data transformation, data storage and data distribution.
  • Engage with other team leads to implement data management program with high quality.
  • Strong focus on innovation and enablement, contributes to designs to implement data pipelines for structured and unstructured data and deliver effective and efficient technical solution.
  • Ability to understand capital market business problems, study and transform data as needed.
  • In collaboration with other leads define key data domains and attributes to help standardize the data model to drive data quality across the global enterprise.
  • Contribute toward improving data quality of StoneX strategic data assets.
  • Oversee the day to day operations of the junior data team members, participate in scrum and sprint rituals.

 

Qualifications

What makes you land in this role

  • 5+ years of experience in Data Architecture, Data Engineering and/or Production Support across large enterprises.
  • 3 years of hands on Data Engineering or Software Development experience in capital markets / trading industry

Strong understanding of Enterprise architecture patterns, Object Oriented & Service Oriented principles, design patterns, industry best practices

  • Experience in leading a small to mid technology team of highly qualified technical performers
  • Experience facilitating discussions and resolving issues across a diverse set of cross functional business & IT stakeholders.
  • Foundation knowledge of Data Structures, Algorithms and Designing for performance.
  • Proficiency in Python and one object-oriented programming language among C#, Java
  • Experience in database technology like MSSQL or Postgres or MySQL and one of key value and document databases like MongoDB, DynamoDB, Casandra
  • Excellent communications skills and ability to wok with business to extract critical concepts and transform into technical task items
  • Ability to work and lead in an Agile methodology environment
  • #LI-Hybrid #LI-ND1

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed