Data Engineer
Mattel, Inc.4 months ago
Hyderābād, IndiaMid Level / Senior
Responsibilities
- Lead the design and development of scalable, secure, high-performing data integration pipelines for structured and semi-structured enterprise data.
- Build analytics-ready pipelines and centralized BigQuery data warehouse solutions for reporting, dashboards, and advanced analytics.
- Implement modular and reusable DBT transformation models and optimize BigQuery partitioning, clustering, and queries.
- Develop Python and SQL code for ingestion, transformation, validation, and performance tuning.
- Automate and monitor workflows using Airflow/Cloud Composer and establish data quality checks and testing strategies.
- Collaborate with architects, technical leads, data analysts, BI developers, product owners, and other cross-functional teams.
- Evaluate and use modern ETL platforms such as Ascend.io, Databricks, Dataflow, and Fivetran.
- Contribute to technical documentation, CI/CD workflows, monitoring processes, and scalable engineering frameworks.
- Mentor junior engineers, conduct peer code reviews, and lead technical discussions.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Minimum 3–5 years of hands-on data engineering experience with data warehousing, pipeline development, and cloud analytics.
- Expert-level experience with Google BigQuery, Python, SQL, DBT, and Airflow/Cloud Composer.
- Experience building enterprise-grade ETL/ELT pipelines and scalable data architectures.
- Strong understanding of data quality frameworks, validation techniques, and governance processes.
- Experience with or willingness to work in Agile environments and manage IT backlogs.
- Preferred experience with Ascend.io, Databricks, Fivetran, Dataflow, Collibra, CI/CD tools, Git workflows, infrastructure automation, Pub/Sub, or Kafka.
- Strong strategic problem-solving, communication, cross-functional influence, adaptability, and technical leadership skills.
Benefits
- Flexible work model combining purposeful in-person collaboration with flexibility.
- Role based at Mattel’s Technology & Innovation Center in Hyderabad, India.
- Inclusive workplace and culture of belonging with equal employment opportunity.
Tech Stack
Categories
Data Engineering
About Mattel, Inc.
Mattel, Inc. is a global toy and family entertainment company that designs, manufactures, and licenses products under brands such as Barbie, Hot Wheels, Fisher-Price, American Girl, UNO, and Thomas & Friends. It sells through major retailers, e-commerce, and direct channels, and extends its franchises into content, consumer products, and live/digital experiences via licensing partnerships. Founded in 1945 and headquartered in El Segundo, California, the company operates worldwide.