Job Description:

THE OPPORTUNITY / RESPONSIBILITIES

Provide data-driven insights and execute recommendations as part of the Data Engineering team. Maintain financial analysis, customer analytics, data engineering, web analytics, and analysis of offline activities. Interface with other developers, product owners and business analysts to understand data needs. Develop and maintain Scholastic’s data infrastructure to drive efficient and reliable processes. Utilize data to analyze the effectiveness of Scholastic’s marketing efforts across channels. Develop dashboards and improve reporting measures, operations, and supply chain. Remote work permitted within reasonable commuting distance of the New York, NY office.

About Scholastic

Scholastic Corporation (NASDAQ: SCHL) is the world's largest publisher and distributor of children's books, a leading provider of print and digital instructional materials for pre-K to grade 12, and a producer of educational and entertaining children's media. The Company creates quality books and ebooks, print and technology-based learning programs, classroom magazines and other products that, in combination, offer schools customized solutions to support children's learning both at school and at home. The Company also makes quality, affordable books available to all children through school-based book clubs and book fairs. With a 100+ year history of service to schools and families, Scholastic continues to carry out its commitment to "Open a World of Possible" for all children. Learn more at Scholastic.com/AboutScholastic.

Qualifications

HOW YOU CAN FIT (Qualifications)

Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math or a closely related quantitative discipline and two years of experience as a Data Engineer, Data Warehouse Analyst, Data Warehouse Solution Architect, Graduate Assistant, or a closely related occupation.
Also requires at least one year of experience in the following:
SQL skills for purposes of data extraction, transformation, cleaning, and analysis.
Excel, SAS, R or Python skills in analysis, statistics, and charting.
Setting up framework for Operational Data Store where data from other systems will be available in real time for reporting and analysis.
Creating a run book for migrating processes from the python-based code to AWS Glue Framework.
Setting up automated life cycle policies on AWS Sage maker to shut down the resources when not in use to save cost.
Setting up data transformation tool (new ETL tool) which will be used by the team.
Supporting the daily production jobs that run on complex data pipelines using ERMs and EC2s; and using GIT as standards for source code control and change management processes.

Time Type:

Full time

Job Type:

Regular

Job Family Group:

Information Technology

Location Region/State:

New York

Compensation Range:

Annual Salary: 120,000.00 - 131,800.00

EEO Statement:

Scholastic is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination.

EEO is the Law Poster

EEO Scholastic Policy Statement

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Data Engineer

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