Sr Data Engineer
Mattel, Inc.1 month ago
Hyderābād, IndiaSenior
Responsibilities
- Lead the design and development of scalable, secure, high-performing data integration pipelines using Google BigQuery.
- Ingest structured and semi-structured data from enterprise systems into a centralized cloud data warehouse.
- Build analytics-ready pipelines and transform raw data into trusted, curated datasets for reporting, dashboards, and advanced analytics.
- Develop modular and reusable data transformation models with DBT.
- Apply BigQuery partitioning, clustering, and query optimization practices.
- Automate and monitor workflows using Airflow and Cloud Composer.
- Write reusable Python and SQL for ingestion, transformation, validation, and performance tuning.
- Establish data quality checks, validation techniques, and testing strategies.
- Partner with architects and technical leads on 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.
- Use modern ETL platforms such as Ascend.io, Databricks, Dataflow, or Fivetran to improve development, observability, and orchestration.
- Contribute to technical documentation, CI/CD workflows, monitoring processes, and continuous improvement.
- 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 with data warehousing, pipeline development, and cloud analytics.
- Expert-level experience with Google BigQuery, Python, SQL, DBT, and Airflow or 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 tools such as Ascend.io, Databricks, Fivetran, or Dataflow is preferred.
- Experience with data cataloging or governance tools such as Collibra is preferred.
- Experience with CI/CD tools, Git workflows, and infrastructure automation is preferred.
- Experience with real-time or event-driven processing using Pub/Sub, Kafka, or similar platforms is preferred.
- Proficiency in Scrum or Kanban and experience managing IT backlogs.
- Ability to solve strategic problems, architect innovative solutions, adopt new technologies, and influence cross-functional teams.
- Strong communication skills and the 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.