Data Engineer

4 weeks ago

Hyderabad, Telangana, India Thomson Reuters Full time

About the Role

A Data Engineer at Thomson Reuters is responsible for developing and maintaining data processing software, such as databases, to ensure smooth data flow from source to destination efficiently and securely.

Key Responsibilities

  • Independently own and manage assigned projects and meet deadlines, clearly communicating progress and barriers to manager and stakeholders.
  • Serve as a visible Subject Matter Expert on our Customer Data Platform, maintaining up-to-date awareness of industry trends, cutting-edge technologies, and best practices on relevant topics including unified customer profiles, deterministic and probabilistic matching, identity graphs, data enrichment, etc.
  • Design and implement data ingestion pipelines to collect and ingest customer data into the Customer Data Platform from various sources.
  • Create and design data models, schemas, and database structures in Snowflake.
  • Carry out comprehensive data analysis from various system sources to yield enhanced insights into customer behavior and preferences.
  • Ensure the launch of new data, segmentation, and profile capabilities, as well as the evolutions of the platform, go smoothly.
  • Collaborate with marketers and other stakeholders to understand their data needs and translate those needs into technical requirements.

About You

  • Bachelor's or master's degree in data science, business, technology, or an equivalent field.
  • Strong Data Engineering background with 4+ years of experience working on large data transformation projects, preferably related to customer data platforms, Identity Resolution, and Identity Graphs.
  • Solid foundation in SQL and familiarity with other query engines, along with hands-on experience with Snowflake, AWS Cloud, DBT, and Real-time APIs.
  • Expertise in using SQL/Presto for querying data across multiple sources and workflow management, including the ability to create, schedule, and monitor data workflows.
  • Experience using any industry-leading customer data platform, marketing data sources such as CRM especially Salesforce, marketing automation platform especially Eloqua is a plus.
  • Exposure to Gen AI, capable of leveraging AI solutions to address complex data challenges.
  • Excellent oral, written, and visual (Power point slides) communication skills, especially in breaking down complex information into understandable pieces, telling stories with data, and translating technical concepts for non-technical audiences.
  • Strong ability to organize, prioritize, and complete tasks with a high attention to detail, even in the face of ambiguity and environmental barriers.
  • Experience in working in iterative development and a solid grasp of agile practices.

What's in it For You?

  • A globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • 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.
  • LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
  • 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.

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