Senior Data Engineer

Hasbro, Inc.•Boston, MA

27d

About The Position

At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. Do you have a passion for data? Then we are looking for you! We have an opportunity for a Senior Data Engineer to join our high-visibility Analytics team that is helping Hasbro better reach consumers with compelling products and entertainment! In this role use your talents in software engineering, analytics cloud platforms and business collaboration to expand our rich analytics data ecosystem. This Sr. Data Engineer will bring deep knowledge and hands-on experience working with cloud data platform technologies such as Azure, AWS, Google and scripting language like Python.

Requirements

5+ years of hands-on experience in developing and deploying data architecture strategies or engineering practices.
Demonstrated ability with complex SQL queries and knowledge of database technologies.
Proficiency in integrating AI solutions into new and existing technologies to improve efficiency, streamline operations, and elevate the consumer experience is required.
Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets.
Knowledge of metadata management, data lineage, and principles of data governance.
Experience with streaming data management.
Excellent written and verbal communication skills - experience working with business and senior leaders.
Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.

Responsibilities

Design, develop and optimize the data pipelines and transformations to enable analytics insights.
Participate in the design, architecture, and implementation of data-engineering platform infrastructure.
Champion engineering excellence, including software design patterns, code reviews, and automated unit/functional testing.
Collaborate with product managers, data scientists, and data analysts in an open, creative, and agile environment.