Platform Developer - Big Data Engineer

Job Description

"This role sits within our Financial & Risk ("F&R") business. On January 30, 2018, Thomson Reuters announced that it signed a definitive agreement to enter into a strategic partnership with private equity funds managed by Blackstone related to the company's F&R business. As part of the transaction, Thomson Reuters has agreed to sell a 55% majority stake in Financial & Risk and will retain a 45% interest in the business. Thomson Reuters will maintain full ownership of its Legal, Tax & Accounting and the Reuters News businesses. The transaction is expected to close in the second half of the year and is subject to specified regulatory approvals and customary closing conditions. When the transaction closes, this role will be included in the new F&R entity. Further information on this can be found at https://www.thomsonreuters.com/en/press-releases/2018/january/thomson-reuters-and-blackstone-announce-strategic-partnership-for-thomson-reuters-financial-and-risk-business.html "

Role Overview

As a customer-centric organization, we provide the best services for our customers by helping them to get the maximum advantage of our products like linked data repository 'Content Matrix-Well' (CM-Well), Thomson Reuters Intelligent tagging (TRIT), and Atlas - an entity-centric map of the world, built from unstructured & structured content.

Responsibilities

• Production implementation of Natural Language Processing models for

scale and performance

• Server configuration on Internal and AWS

• Ability to establish big data pipelines using modern reactive, non-blocking

threading and streaming paradigms

• Documentation of design and own code

• Working with core development team to extend core platform features

• Ability to problem solve and work with teams in other countries

Skills

Must Have:

  • Scala, Functional/OOP
  • Version Control e.g GitLab, GitHub
  • Scrum, Agile and TDD


Good To Have:
  • Python, Java
  • Linux/Unix
  • Apache Spark, Kafka, Akka, Reactive Streams
  • Postgres, NoSQL: Cassandra, ElasticSearch, Apache Solr, SPARQL, RDF, Neo4j
  • Deploying Natural Language Processing, Machine Learning, Deep Learning models to production
  • ETL, Data Preparation, Pre-Processing
  • Data Visualization e.g Tableau, D3.js


At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 45,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

Intrigued by a challenge as large and fascinating as the world itself? Come join us.

To learn more about what we offer, please visit thomsonreuters.com/careers .

More information about Thomson Reuters can be found on thomsonreuters.com.

Locations
Singapore-Singapore


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