Senior Data Engineer

About the role

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 Mattel’s enterprise data strategy.

What you'll do

• Lead the design and development of scalable cloud-based data pipelines using tools like BigQuery, Python, SQL, DBT, and Airflow
• Drive detailed designs decisions, ensure data quality, and collaborate with cross-functional teams to deliver trusted, analytics-ready datasets
• Lead the development of scalable, secure, and high-performing data integration pipelines for structured and semi-structured data 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

What you need

• 3–6 yrs of experience
• SQL
• Python
• ETL
• BigQuery
• Data warehousing
• dbt
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Airflow
• Databricks
• Kafka
• CI/CD
• Git
• ERP