GCP Data Engineer
Mattel, Inc.3 months ago
Hyderābād, IndiaMid Level / Senior
Responsibilities
- Lead the design and development of scalable data integration pipelines for structured and semi-structured enterprise data using Google BigQuery.
- Build analytics-ready pipelines that 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 for performance and scalability.
- Automate, monitor, and orchestrate workflows using Airflow and Cloud Composer.
- Write reusable Python and SQL for ingestion, transformation, validation, and performance tuning.
- Establish data quality checks, testing strategies, governance practices, and validation processes.
- Evaluate and use ETL and data platforms including Ascend.io, Databricks, Dataflow, and Fivetran.
- Collaborate with architects, technical leads, data analysts, BI developers, product owners, and other cross-functional teams.
- Contribute to technical documentation, CI/CD workflows, monitoring processes, and scalable engineering frameworks.
- Mentor junior engineers, conduct peer code reviews, lead technical discussions, and promote engineering best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Three to five 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.
- Proficiency in Agile methodologies such as Scrum and Kanban and in managing IT backlogs.
- Preferred experience with Ascend.io, Databricks, Fivetran, Dataflow, Collibra, CI/CD tools, Git workflows, infrastructure automation, Pub/Sub, and Kafka.
- Ability to architect innovative solutions, adopt new technologies, influence cross-functional teams, communicate effectively, and serve as a go-to expert for data technologies.
Benefits
- Flexible work model combining purposeful in-person collaboration with flexibility.
- Inclusive workplace and culture of belonging with equal employment opportunity.
- Role is based at Mattel’s Technology & Innovation Center in Hyderabad, India.
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.