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 robust 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 robust 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 current information thoroughly and quickly
Strong logical and scientific approach to problem-solving
Can articulate comple

📌 Business Technology Analyst Hyderabad
🏢 Thomson Reuters
📍 Hyderabad