GCP Data Engineer

Mattel is seeking a GCP Data Engineer based out of our Technology & Innovation Center in Hyderabad India reporting to the IT Director for Enterprise Data and Analytics.

This role will lead the design and development of scalable cloud-based data pipelines using tools like BigQuery Python SQL DBT and Airflow. You will drive detailed designs decisions ensure data quality and collaborate with cross-functional teams to deliver trusted analytics-ready datasets. This role also includes mentoring junior engineers and setting engineering best practices to support Mattels enterprise data strategy.

What Your Impact Will Be:

• Lead the development of scalable secure and high-performing data integration pipelines for structured and semi-structured data using Google BigQuery.
• Design and develop scalable data integration pipelines to ingest structured and semi-structured data from enterprise systems (e.g. ERP CRM E-commerce Order Management) into a centralized cloud data warehouse using Google BigQuery.
• Build analytics-ready pipelines that transform raw data into trusted curated datasets for reporting dashboards and advanced analytics.
• Implement transformation logic using DBT to create modular maintainable and reusable data models that evolve with business needs.
• Apply BigQuery best practicesincluding partitioning clustering and query optimizationto ensure high performance and scalability.
• Automate and monitor complex data workflows using Airflow/Cloud Composer ensuring dependable pipeline orchestration and job execution.
• Develop efficient reusable Python and SQL code for data ingestion transformation validation and performance tuning across the pipeline lifecycle.
• Establish robust data quality checks and testing strategies to validate both technical accuracy and alignment with business logic.
• Partner with architects and Technical leads to establish best practices scalable frameworks and reference implementations across projects.
• Collaborate with cross-functional teamsincluding data analysts BI developers and product ownersto understand integration needs and deliver impactful business-aligned data solutions.
• Leverage modern ETL platforms such as Databricks Dataflow or Fivetran to accelerate development and improve observability and orchestration.
• Contribute to technical documentation CI/CD workflows and monitoring processes to drive transparency reliability and continuous improvement across the data engineering ecosystem.
• Mentor junior engineers conduct peer code reviews and lead technical discussions

Qualifications :

• Bachelors or Masters degree in Computer Science Data Engineering Information Systems or related technical field.
• Minimum 3-5 years of hands-on experience in data engineering with strong expertise in data warehousing pipeline development and analytics on cloud platforms.
• Expert-level experience in:
  • Google BigQuery for large-scale data warehousing and analytics.
  • Python for data processing orchestration and scripting.
  • SQL for data wrangling transformation and query optimization.
  • DBT for developing modular and maintainable data transformation layers.
  • Airflow / Cloud Composer for workflow orchestration and scheduling.
• Proven experience building enterprise-grade ETL/ELT pipelines and scalable data architectures.
• Strong understanding of data quality frameworks validation techniques and governance processes.
• Proficiency in Agile methodologies (Scrum/Kanban) and managing IT backlogs in a collaborative iterative environment.
• Preferred experience with:
  • Tools like  Databricks Fivetran or Dataflow.
  • Data cataloging/governance tools (e.g. Collibra).
  • CI/CD tools Git workflows and infrastructure automation.
  • Real-time/event-driven data processing using Pub/Sub Kafka or similar platforms.
• Strategic problem-solving skills and ability to architect innovative solutions.
• Ability to adapt quickly to new technologies and lead adoption across teams.
• Excellent communication skills and ability to influence cross-functional teams.
• Good experience on Agile Methodologies like Scrum Kanban and managing IT backlog.
• Be a go-to expert for data technologies and solutions.

Additional Information :

Dont meet every single requirement At Mattel we are dedicated to an inclusive workplace and a culture of belonging. If youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we still encourage you to apply. You may be just the right candidate for this or other roles.

How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:

• We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
• We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
• We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

Our Approach to Flexible Work:
We embrace a flexible work model designed to empower a culture of growth optimism and wellbeing where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility our focus is to optimize performance and drive connection for moments that matter.

Who We Are:
Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands including Barbie Hot Wheels Fisher-Price American Girl Thomas & Friends UNO Masters of the Universe Matchbox Monster High MEGA and Polly Pocket as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys content consumer products digital and live experiences. Our products are sold in collaboration with the worlds leading retail and ecommerce companies. Since its founding in 1945 Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattels award-winning workplace culture has been recognized by Forbes Fast Company Newsweek Great Place to Work TIME and more.

Visit us at  is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers and all applicants will receive consideration for employment.

Videos to watch:
The Culture at Mattel
Corporate Philanthropy

Remote Work :

No

Employment Type :

Full-time