Data Engineer

Role Overview: As a Data Engineer at McGraw Hill, you will be at the core of the company's data ecosystem, designing, building, and optimizing scalable data solutions to enable high-impact, data-driven decision-making across various domains. You will collaborate closely with analytics, product, and business stakeholders to translate complex requirements into reliable data pipelines and architectures, facilitating timely and informed decisions. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and solutions using AWS technologies - Build and optimize big data processing workflows utilizing Databricks and Spark - Develop robust ETL/ELT solutions with parallel processing for efficient data delivery - Design and implement data models to support reporting and analytics needs - 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 - Create and maintain high-quality technical and solution design documentation - Follow Agile/Kanban practices using tools like Git and Jira Qualifications Required: - Bachelor's 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 like 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 Additional Company Details: In McGraw Hill's culture of curiosity, collaboration, and innovation, you will have the opportunity to work on meaningful problems, own your growth, and contribute to shaping the future of learning through data and technology. Role Overview: As a Data Engineer at McGraw Hill, you will be at the core of the company's data ecosystem, designing, building, and optimizing scalable data solutions to enable high-impact, data-driven decision-making across various domains. You will collaborate closely with analytics, product, and business stakeholders to translate complex requirements into reliable data pipelines and architectures, facilitating timely and informed decisions. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and solutions using AWS technologies - Build and optimize big data processing workflows utilizing Databricks and Spark - Develop robust ETL/ELT solutions with parallel processing for efficient data delivery - Design and implement data models to support reporting and analytics needs - 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 - Create and maintain high-quality technical and solution design documentation - Follow Agile/Kanban practices using tools like Git and Jira Qualifications Required: - Bachelor's 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 like 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 Additional Company Details: In McGraw Hill's culture of curiosity, collaboration, and innovation, you will have the opportunity to work on meaningful problems, own your growth, and contribute to shaping the future of learning through data and technology.