Manager, Data Engineering

Department Overview

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Duties

Position Summary:

Senior Manager, Integrated Test Lead – Data Product Engineering & Delivery  (Sr Manager, Technology Testing) Lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. Drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.

Primary Responsibilities:

Test Strategy & Leadership:

• Design and implement end-to-end testing frameworks for data pipelines, ETL / ELT processes, and analytics platforms
• Ensure test coverage across ETL / ELT, data transformation, lineage and consumption layers
• Develop integrated testing strategies spanning multiple systems, APIs, and data sources
• Establish testing standards, methodologies, and best practices across the organization

Data Engineering Testing:

• Create comprehensive test suites for data ingestion, transformation, and output validation
• Design data quality checks, schema validation, and performance testing for large-scale datasets
• Implement automated testing for streaming and batch data processing workflows
• Validate data integrity across multiple environments and systems and against business rules

Cross-Functional Coordination:

• Collaborate with data engineers, software developers, product managers, and DevOps teams
• Coordinate testing activities across multiple product streams and release cycles
• Manage testing dependencies and critical path items in complex delivery timelines

Quality Assurance & Process Improvement:

• Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
• Lead root cause analysis for production issues and testing gaps

Technical Leadership:

• Mentor junior QA engineers and promote testing best practices
• Evaluate and implement new testing tools and technologies
• Design scalable testing infrastructure and CI/CD integration

Qualifications

Skills Required: Redshift, Bigquery, AWS, GCP, Python, Java, Bash, Airflow, Kafka, Confluent, Spark, DBT, ETL testing, Data Pipeline Testing, Data Pipeline, ETL, Data Testing, Pipeline Testing, Github, Jenkins, Git, Maven, Gradle, API Testing

• 10+ years in software testing with 3+ years in leadership roles
• 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
• Proven track record with complex, multi-system integration testing
• Experience in agile/scrum environments with rapid delivery cycles
• Strong SQL experience with major databases (Redshift, Bigquery, etc.)
• Experience with cloud platforms (AWS, GCP) and their data services
• Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
• Proficiency in data warehousing, data architecture, reporting and analytics applications
• Scripting languages (Python, Java, bash) for test automation
• API testing tools and methodologies
• CI/CD/CT tools and practices
• Strong project management and organizational skills
• Excellent verbal and written communication abilities
• Experience managing multiple priorities and competing deadlines