McGraw Hill
Data Engineer -AWS, Python, Spark
Edtech.com's Summary
- Design, develop, and maintain scalable data pipelines using AWS technologies such as Athena, Glue, EMR, Lambda, and Iceberg.
- Build and optimize big data processing workflows using Databricks and Spark.
- Develop efficient ETL/ELT solutions with parallel processing for fast data delivery.
- Design and implement data models including facts, dimensions, star schemas, and aggregations to support analytics.
- Monitor and manage cloud-based data platforms ensuring performance, reliability, and SLA adherence.
- Translate complex business requirements into end-to-end technical data solutions.
- Collaborate with analytics, product, and business stakeholders throughout the software development lifecycle.
- Create and maintain high-quality technical and solution design documentation.
- Follow Agile/Kanban methodologies using tools like Git and Jira.
- Required qualifications include a Bachelor's degree or equivalent experience, 3+ years in Data Engineering, strong hands-on AWS data service experience, proficiency in Databricks, Spark, SQL, and Python, and knowledge of modern data warehousing and data lake architectures. Experience with infrastructure-as-code tools such as Terraform is also required.
- Nice to have: experience in Education or Publishing, familiarity with BI tools like Tableau or Alteryx, experience with financial datasets, and exposure to IBM Planning Analytics (TM1).
- Employment type: Full-time position based in India.
Data Engineer -AWS, Python, Spark Full Description
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 Hill's 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 Hill's 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
We are looking for someone having:
- A 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 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
Nice to have:
- 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)
Why work with us?
There has never been a better time to join McGraw Hill. In our culture of curiosity, collaboration, and innovation, you'll have the opportunity to work on meaningful problems, own your growth, and help shape the future of learning through data and technology.
50444
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