Job Description

The Core AI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights. The Data Factory team ingests data from various sources into the Enterprise Data Lake and performs content agnostic transformations to provide end-users with clean datasets, guidance, and oversight of content specific transformationsu200b. At Thomson Reuters, we are recruiting a team of motivated data professionals to transform how we manage and leverage our commercial data assets. Join our dynamic team as a Senior Data Engineer and take a pivotal role in shaping the future of our data ingestion solutions into Enterprise Data Lake. You will be responsible for conducting source data analysis and along with data subject experts to build data pipelines and document the data transformations. You will perform data ingestions from various source systems using frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. About the Role In this opportunity as a Senior Data Engineer, you will:

• Design Solutions to Ingest multiple sources to Data Lake.
• Work on source data analysis and build data pipelines and will document the same.
• Collaborate with multiple teams and business teams starting from business analysts, data architects.
• Innovate with new approaches for source ingestion, ELT data pipelines, AWS-based frameworks, documentation, and usability by stakeholders.
• Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams.
• Contribute to improving the customer experience.