Data Engineer

The Team

As part of the Global Technology Organization the Enterprise Data and Analytics (ED&A) Delivery Team is focused on enabling Mattel to become a data-driven organization supported by a shared services platform that serves all business units:

• Integration data from diverse enterprise systems such as ERP ECOM Order Management systems CRM and operational platform into a centralized cloud-based data warehouse.
• Building robust ETL/ELT pipelines that automate data ingestion transformation and delivery using modern tools and frameworks.
• Delivering curated business-ready datasets that support self-service analytics and strategic decision-making.
• Enforcing data quality testing and governance standards across the enterprise.
• Leveraging orchestration tools such as Airflow/Cloud Composer to ensure reliable and efficient pipeline scheduling and execution.
• Partnering with cross-functional teams including data analysts product owners and BI developers to align data solutions with business needs.

The Opportunity

Mattel is seeking a Data Engineer or ETL Developer based out of our Technology & Innovation Center in Hyderabad India reporting to the IT Director for Enterprise Data and Analytics. The person in this role will be responsible for designing developing and maintaining scalable data integration and analytics pipelines to support enterprise reporting and data-driven decision-making. This role requires close collaboration with cross-functional teams to integrate data from various source systems into a centralized cloud-based data warehouseprimarily leveraging tools such as Google Big Query Python SQL DBT and Cloud Composer (Airflow). The Data Engineer will also be responsible for implementing data quality checks managing orchestration workflows and delivering business-ready datasets aligned with Mattels enterprise data strategy.

What Your Impact Will Be:

• 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 data workflows using Cloud Composer (Airflow) ensuring reliable execution task dependency management and timely data delivery.
• 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.
• 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.

Qualifications :

What Were Looking For:

• Bachelors or masters degree in computer science Data Engineering Information Systems or related technical field.
• 4 years of hands-on experience in data engineering with a focus on data integrations warehousing and analytics pipelines.
• Hands-on experience with:
  • Google Big Query as a centralized data warehousing and analytics platform.
  • Python for scripting data processing and integration logic.
  • SQL for data transformation complex querying and performance tuning.
  • DBT for building modular maintainable and reusable transformation models.
  • Airflow / Cloud Composer for orchestration dependency management and job scheduling.
• Solid understanding of ETL/ELT pipeline development and cloud-based data architecture.
• Strong knowledge of data quality frameworks validation methods and governance best practices.
• Preferred Skills (Optional):
  • Experience with or comparable ETL platforms such as Databricks Dataflow or Fivetran.
  • Familiarity with data cataloging and governance tools like Collibra.
  • Knowledge of CI/CD practices Git-based workflows and infrastructure automation tools.
  • Exposure to event-driven or real-time streaming pipelines using tools like Pub/Sub or Kafka.
• Strong problem-solving and analytical mindset with the ability to think broadly and identify innovative solutions and able to quick to learn new technologies programming languages and frameworks.
• Excellent communication skills both written and verbal.
• Ability to work in a fast-paced and collaborative environment.
• Ability to provide on ground troubleshooting and diagnosis to architecture and design challenges
• Good experience in Agile Methodologies like Scrum Kanban and managing IT backlogs.
• 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