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Thomson Reuters

Senior Data Engineer

Early Applicant
  • 12 days ago
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Job Description

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions

About the Role:

  • SQL Proficiency a must
  • 3+ years experience in data engineering, data analytics, or similar data centric disciplines
  • Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions
  • Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure
  • Experience with orchestration tools like Airflow or Dagster
  • Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight)
  • Data modelling knowledge of various schemas like snowflake and star
  • Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data
  • Knowledge building ETL workflows, database design, and query optimization
  • Has experience of a scripting language like Python
  • Works well within a team and collaborates with colleagues across domains and geographies
  • Excellent oral, written, and visual communication skills
  • Has a demonstrable ability to assimilate new information thoroughly and quickly
  • Strong logical and scientific approach to problem-solving
  • Can articulate complex results in a simple and concise manner to all levels within the organization

About You:


  • Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions
  • Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting
  • Build pipelines that source, transform, and load data that's both structured and unstructured keeping in mind data security and access controls
  • Explore large volumes of data with curiosity and conviction
  • Contribute to the strategy and architecture of data management systems and solutions
  • Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner
  • Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space
  • Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems
  • Must have 3+ years in work experience in data engineering or data analytics domains
  • Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines

What's in it For You


You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters caf networking.
  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
  • Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Do you want to be part of a team helping re-invent the way knowledge professionals work How about a team that works every day to create a more transparent, just and inclusive future At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting Join us and help shape the industries that move society forward.

Accessibility

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 applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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



More Info

Industry:Other

Function:Data Engineering

Job Type:Permanent Job

Skills Required

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Date Posted: 12/11/2024

Job ID: 100106073

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