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 transformations.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.
About You
You're a fit for the role of Senior Data Engineer if you have demonstrated expertise of 6-9 years experience in:
- Expert in Data Pipeline Development ETL/ELT tooling for on-prem and cloud environments
- Expertise in any ETL tool, preferably Informatica
- Highly proficient in SQL.
- Highly Experienced in working on Relational and Non-Relational Databases like Snowflake.
- Expertise in Semi-structured and Unstructured Data
- Proficient in AWS services (S3, EC2, lambda, IAM, VPC, Load Balancer, Glue, RDS)
- Proficient in programming languages like Python/Spark
- Basic knowledge of Ingesting from API.
- Working experience in creating sustainable data pipelines to Data Lakes/Datawarehouse/Data Marts.
- End to End deployment of Data pipelines using the CICD process.
- Awareness of Data Governance Standards
- End to End deployment of Data pipelines using the CICD process
- Good written and oral communication skills
- Information systems design
- Stakeholder management
- Understanding of Data modeling 3NF and dimensional, including conceptual, logical and physical
- Master and Reference data management
- Experience or knowledge of Terraform deployment
- Basic understanding of shell scripting
- Agile Method of working
- Solution Design experience building use case diagrams, architectural workflows, etc.
- Big Data Experience
- Business Analysis
Whats in it For You
Join us to inform the way forward with the latest AI solutions and address real-world challenges in legal, tax, compliance, and news. Backed by our commitment to continuous learning and market-leading benefits, youll be prepared to grow, lead, and thrive in an AI-enabled future. This includes:
- Industry-Leading Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, and hybrid model, empowering employees to achieve a better work-life balance.
- Career Development and Growth:By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Culture: Globally recognized and award-winning reputation for inclusion, innovation, and customer-focus. Our eleven business resource groups nurture our culture of belonging across the diverse backgrounds and experiences represented across our global footprint.
- Hybrid Work Model: Weve 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.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
