Senior Data Engineer

Pearson VUE

Lead Data Engineer at Pearson responsible for designing and building data transformation pipelines. Collaborate to define engineering standards and ensure delivery across the integration hub.

Posted 5/4/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLMySQLPostgresSQL

About the role

Key responsibilities & impact

Own the design and delivery of the data transformation (Source → Curated) layer within the Integration Hub
Transform legacy data into canonical and microservice-ready formats
Design, develop and maintain scalable ETL/ELT pipelines using Azure-based data platforms and related tooling
Define and implement engineering standards, reusable components and best practices across the transformation layer
Design and build reusable pipeline components, frameworks and patterns
Oversee the work of Data Engineers, including code reviews, pair programming and technical guidance
Mentor and support engineers to improve capability and delivery quality
Ensure data integrity, consistency and reliability across transformation processes
Drive performance optimisation through query tuning, indexing strategies and partitioning
Lead design decisions across data modelling, pipeline automation and testing approaches
Implement monitoring, alerting and operational processes for data pipelines
Work with Change Data Capture (CDC) technologies to support integration with legacy systems
Collaborate with stakeholders to ensure solutions meet functional and non-functional requirements
Support CI/CD practices and version control for pipelines and database changes

Requirements

What you’ll need

Strong hands-on experience with cloud-based data platforms (Azure preferred)
Proven experience delivering large-scale data transformation solutions
Advanced SQL skills including complex queries, stored procedures and optimisation
Experience working with relational databases such as Azure SQL, PostgreSQL, MySQL or similar
Strong understanding of ETL/ELT patterns and pipeline design
Experience with performance tuning, indexing strategies and partitioning
Experience working with large data volumes and high-throughput systems
Familiarity with Change Data Capture (CDC) and integration of legacy systems
Experience with version control systems such as Git
Strong problem-solving and analytical skills
Ability to work effectively with cross-functional teams and communicate technical concepts clearly

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTSQLAzuredata transformationdata modellingperformance tuningChange Data Capturepipeline automationversion control

Soft Skills

problem-solvinganalytical skillsmentoringcollaborationcommunication