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Senior Data Engineer at Hasbro

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Platforms, Software Engineering, Analytics, Python, SQL, AI Solutions, Data Governance, Data Lineage, Metadata Management, Streaming Data Management, Data Architecture, Collaboration, Agile Environment, Code Reviews, Automated Testing

Industry

Manufacturing

Description

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. A day in the life as a Sr. Data Engineer: 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. 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 data pipelines and transformations for analytics insights. Participate in the design, architecture, and implementation of data-engineering platform infrastructure.