Thomson Reuters
BusinessTechnologyAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Business Technology Analyst at Thomson Reuters. Skills: Data Engineering, Analytics Engineering, Data Modelling, Data Transformation. Build and maintain sophisticated data models using tools. Ensure data quality, consistency, and accessibility”
What You'll Achieve.
deliver top notch data transformation; deliver top notch analytics engineering solutions
Industry & Context.
logical and scientific approach to problem-solving; troubleshooting; optimization skills; performance bottlenecks; ambiguous problems
What They're Looking For.
Must Have
SQL Proficiency a must, 6+ years' experience in data engineering, Experience with data pipeline and transformation tools, Hands-on experience with CI/CD pipelines, Familiarity with version control best practices, Familiarity with Agile development practices, Experience with data orchestration tools, Experience using cloud-based data warehouse solutions, data modelling expertise, Proven track record designing and implementing data transformation logic and workflows, Experience building complex data models, Knowledge of database design, Knowledge of query optimization, Experience with a scripting language like Python
Nice to Have
dbt (data build tool) highly preferred, Preferred experience using Amazon Web Services, PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Build and maintain sophisticated data models using tools
Design scalable and maintainable data architectures
Align architectures with engineering standards
Align architectures with long-term platform growth
Leverage orchestration tools to schedule data transformation workflows
Leverage orchestration tools to monitor data transformation workflows
Mentor junior engineers
Share industry best practices in data engineering
Share industry best practices in data modeling
Share industry best practices in pipeline development
Work closely with data scientists
Work closely with data visualization teams
Understand data requirements
Ensure availability of high-quality data
Ensure availability of well-transformed data
Improve pipeline performance
Improve pipeline reliability
Improve cloud cost efficiency
Contribute to the strategy of data management systems
Contribute to the architecture of data management systems
Contribute to the strategy of data management solutions
Contribute to the architecture of data management solutions
Proactively troubleshoot data transformation
Proactively troubleshoot data quality
Proactively troubleshoot performance bottlenecks
Resolve data transformation
Resolve performance bottlenecks
Conduct independent research
Utilize various techniques
Tackle ambiguous problems
Take ownership of deliverables
Step up to additional responsibilities
How You'll Work.
Team & Collaboration
colleagues across domains and geographies; cross-functional collaboration; cross-functional agile teams; data scientists; data visualization teams
Communication Scope
oral communication skills; written communication skills; visual communication skills; articulate complex results
Process & Methodology
Agile development practices, sprint planning, backlog grooming, iterative delivery
Full Job Description
**Summary of the role:** Are you excited by the prospect of transforming data, building sophisticated data models, 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 transformation and analytics engineering solutions to support business intelligence, data science, and self-service data solutions. **About the role:** * SQL Proficiency a must * 6+ years' experience in data engineering with a strong focus on data transformation and analytics engineering * Strong experience with dbt (data build tool) highly preferred * Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions * Hands-on experience with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab, etc.) and strong familiarity with version control best practices, code reviews, and documentation standards. * Familiarity with Agile development practices, including sprint planning, backlog grooming, iterative delivery, and cross-functional collaboration * Experience with data orchestration tools like Airflow or Dagster (DPOT) * Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure * Preferred experience using Amazon Web Services (S3, Glue, Athena, QuickSight) * Strong data modelling expertise with various schemas like snowflake and star * Proven track record designing and implementing data transformation logic and workflows * Experience building complex data models that support analytics and reporting needs * Knowledge of database design and query optimization * Experience with 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
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