Senior Data Engineer
Mattel, Inc.1 month ago
Hyderābād, IndiaSenior
Responsibilities
- Lead the design and development of scalable cloud-based data integration pipelines for structured and semi-structured enterprise data.
- Build analytics-ready pipelines and curated datasets for reporting, dashboards, and advanced analytics.
- Develop modular, reusable data transformation models using dbt.
- Apply Google BigQuery partitioning, clustering, and query optimization practices.
- Automate and monitor data workflows using Airflow and Cloud Composer.
- Write reusable Python and SQL for ingestion, transformation, validation, and performance tuning.
- Establish data quality checks, testing strategies, validation techniques, and governance processes.
- Partner with architects and technical leads to define scalable frameworks, reference implementations, and engineering best practices.
- Collaborate with data analysts, BI developers, product owners, and other cross-functional teams to deliver business-aligned data solutions.
- Evaluate and use modern ETL platforms such as Ascend.io, Databricks, Dataflow, and Fivetran.
- Contribute to technical documentation, CI/CD workflows, monitoring, and reliability improvements.
- 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.
- At least 3 years of hands-on data engineering experience.
- Expertise with Google BigQuery, Python, SQL, dbt, and Airflow or Cloud Composer.
- Experience building enterprise-grade ETL/ELT pipelines, data warehouses, and scalable cloud data architectures.
- Strong understanding of data quality frameworks, validation techniques, and governance processes.
- Experience with data warehousing, pipeline development, and cloud analytics.
- Preferred experience with Ascend.io, Databricks, Fivetran, or Dataflow.
- Preferred experience with data cataloging and governance tools such as Collibra.
- Preferred experience with CI/CD tools, Git workflows, and infrastructure automation.
- Preferred experience with real-time or event-driven processing using Pub/Sub, Kafka, or similar platforms.
- Proficiency with Scrum or Kanban and collaborative IT backlog management.
- Strategic problem-solving ability, adaptability to new technologies, and ability to lead technology adoption.
- Excellent communication skills and ability to influence cross-functional teams.
- Ability to serve as a go-to expert for data technologies and solutions.
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.