01Overview
OverviewBuild 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 impactAs 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 doingDesign, develop, and maintain scalable data pipelines and solutions using AWS technologiesBuild and optimize big data processing workflows using Databricks and SparkDevelop robust ETL/ELT solutions with parallel processing for faster and more efficient data deliveryDesign and implement data models (facts, dimensions, star schemas, aggregations) to support reporting and analyticsMonitor and manage cloud-based data platforms to ensure performance, reliability, and SLA adherenceTranslate business requirements into technical designs and end-to-end data solutionsCollaborate with cross-functional teams throughout the software development lifecycle, from requirements to deploymentCreate and maintain high-quality technical and solution design documentationFollow Agile/Kanban practices using tools such as Git and JiraWe are looking for someone having:A Bachelors degree in a related field or equivalent practical experience3 years of experience in Data Engineering or a related disciplineStrong hands-on experience with AWS data services such as Athena, Glue, EMR, Lambda, and IcebergProven experience working with Databricks and Spark-based data processingAdvanced proficiency in SQL and strong Python scripting skillsSolid understanding of modern data warehousing and data lake architecturesExperience with cloud infrastructure and infrastructure-as-code tools such as TerraformStrong problem-solving skills, attention to detail, and ability to work independentlyExcellent communication skills and the ability to collaborate with technical and non-technical stakeholdersNice to have:Experience in the Education or Publishing domainFamiliarity with analytics and BI tools such as Tableau or AlteryxExperience working with financial datasets (sales, revenue, COGS, manufacturing, etc.)Exposure to IBM Planning Analytics (TM1)Why work with usThere 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 .
