Data Engineer -AWS, Python, Spark

Overview

Build the future!

McGraw Hill is a global education innovation company offering solutions from textbooks to cutting-edge digital platforms that improve learning outcomes. To support our growing Data & Analytics capability, we are hiring a Data Engineer who will play a critical role in strengthening McGraw Hills data platform and enabling high-impact, data-driven decision-making across the business and will be remotely based in India.

How are you creating an impact

As a Data Engineer, you will be at the core of McGraw Hills data ecosystem designing, building, and optimizing scalable data solutions that power insights across finance, product, customer, and operational domains. You will work closely with analytics, product, and business stakeholders to translate complex requirements into reliable, high-performance data pipelines and architectures, helping teams make timely and informed decisions.

What will you be doing

• Design, develop, and maintain scalable data pipelines and solutions using AWS technologies
• Build and optimize big data processing workflows using Databricks and Spark
• Develop robust ETL/ELT solutions with parallel processing for faster and more efficient data delivery
• Design and implement data models (facts, dimensions, star schemas, aggregations) to support reporting and analytics
• Monitor and manage cloud-based data platforms to ensure performance, reliability, and SLA adherence
• Translate business requirements into technical designs and end-to-end data solutions
• Collaborate with cross-functional teams throughout the software development lifecycle, from requirements to deployment
• Create and maintain high-quality technical and solution design documentation
• Follow Agile/Kanban practices using tools such as Git and Jira

• A Bachelors degree in a related field or equivalent practical experience
• 3+ years of experience in Data Engineering or a related discipline
• Strong hands-on experience with AWS data services such as Athena, Glue, EMR, Lambda, and Iceberg
• Proven experience working with Databricks and Spark-based data processing
• Advanced proficiency in SQL and strong Python scripting skills
• Solid understanding of modern data warehousing and data lake architectures
• Experience with cloud infrastructure and infrastructure-as-code tools such as Terraform
• Strong problem-solving skills, attention to detail, and ability to work independently
• Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders

• Experience in the Education or Publishing domain
• Familiarity with analytics and BI tools such as Tableau or Alteryx
• Experience working with financial datasets (sales, revenue, COGS, manufacturing, etc.)
• Exposure to IBM Planning Analytics (TM1)

There has never been a better time to join McGraw Hill. In our culture of curiosity, collaboration, and innovation, youll have the opportunity to work on meaningful problems, own your growth, and help shape the future of learning through data and technology.

50444