Senior Data Engineer at Thomson Reuters

Short Description:

Thomson Reuters seeks skilled Senior Data Engineers for its Analytics team, championing transformative data use in diverse capacities, including ETL, cloud-based operations, ML support, and dashboarding. Candidates require 2+ years in data science, proficiency in SQL, Python, Snowflake, AWS, and ETL tools, along with a quant-related degree and expertise in visualization. The role embraces a hybrid work model and offers robust benefits, emphasizing diversity, learning opportunities, and purpose-driven work in a globally impactful environment.

Position: Senior Data Engineer

Location: Multiple locations

Employment Type: Full Time (Hybrid)

Job ID: JREQ172415

Job Posting Title: Senior Data Engineer

Job Description: Thomson Reuters is in the process of building a world-class Data Analytics team and is actively seeking talented data engineers. If you're eager to be part of this transformational journey, we invite you to explore this exceptional opportunity.

Responsibilities: Our data engineers possess versatile skills and work with data in various ways.

About the Role: Are you interested in being a part of an exciting journey that's revolutionizing the use of data in businesses and industries? Are you passionate about unraveling data to discover hidden trends and insights? Would you like to be on the leading edge of analytics, harnessing predictive models and machine learning to drive tangible business outcomes? Thomson Reuters is creating a world-class Data Analytics organization, and we are actively seeking talented individuals to join our dynamic team.

About You: Our data engineers are versatile professionals who work with data in various capacities. They source, prepare, and move large volumes of data for use by various stakeholders, engaging in activities like understanding data requirements, identifying data sources and destinations, implementing data transformations, ensuring proper usage of source data systems, building ETLs and data pipelines, automating processes, and guaranteeing high availability and alerting mechanisms. Additionally, data engineers fine-tune data movement mechanisms to meet operational requirements, and they may design target data models. In our cloud-based environment, data engineers are involved in platform engineering and architecture to support machine learning operations. Due to the high volume of data requests, data engineers also assist with data queries and dashboarding using tools like Tableau and PowerBI.

Qualifications: You are an ideal candidate for this role if you possess the following qualifications:

A minimum of 2 years of experience in the data science domain.
A degree in a quantitative field (e.g., Computer Science, Statistics, etc.).
Proficiency in both technical and business aspects.
Technical skills including the ability to translate business requirements into technical data requirements.
Experience with data in specific domains (e.g., Sales, Marketing, Finance, Customer Support).
Advanced knowledge of ETL tools (e.g., FiveTran, dBT, Informatica).
At least 2 years of experience with Snowflake, with Snowflake Certification preferred.
Proficiency in SPARK/EMR, Big Data, optimized data model building, optimization techniques, machine learning model integration, and PowerBI/Tableau.
Expertise in SQL and NoSQL databases.
Experience with data modeling (relational models and Star Schema).
Knowledge of data preparation, transformation, and processing at scale.
Ability to fine-tune and automate data pipelines handling large volumes of data.
Familiarity with Amazon Web Services and tools (Glue, Lambda, EMR, Athena, etc.).
Expertise in Python.
Proficiency in visualization tools such as Tableau or PowerBI.
At least 2 years of experience in Machine Learning Operations in an AWS environment.
Experience tuning SQL queries and writing stored procedures.

Required Qualifications:

Bachelor's Degree from a reputable institution (BS in Computer Science preferred).

Nice-to-Have Qualifications:

Consulting experience with a premier consulting firm.
Knowledge of Machine Learning.
General aptitude for software development.
Previous experience as a Database Administrator.

What's in it For You:

Hybrid Work Model: We've adopted a flexible hybrid working environment for office-based roles, ensuring a digitally and physically connected experience.
Wellbeing: Comprehensive benefit plans, flexible work-life balance, mental health support, and more.
Culture: Thomson Reuters is globally recognized for its commitment to equality, diversity, and inclusion, flexibility, and work-life balance.
Learning & Development: Access to LinkedIn Learning, internal Talent Marketplace for cross-company project opportunities, and networking through Ten Thousand Coffees Thomson Reuters café.
Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.
Purpose-Driven Work: Thomson Reuters helps its customers pursue justice, truth, and transparency. Join us in upholding the rule of law, commerce, factual reporting, and the provision of trusted information to people worldwide.

Accessibility: Thomson Reuters values diversity and inclusion in our workforce, providing equal employment opportunities regardless of various factors. We make reasonable accommodations for individuals with disabilities and sincerely held religious beliefs in accordance with applicable law.

Please click here to apply.

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