Lead Data Engineer — Cloud Analytics & Platforms

Mcgraw Hill; Columbus (OH); Remote; USD 115,000 - 150,000; Full time

Job summary

McGraw Hill is seeking a Lead Data Engineer to enhance its data platform, delivering actionable insights across financial, product, and customer data streams. The role requires hands-on data engineering with AWS and Oracle technologies, strong data modeling skills, and collaboration with stakeholders to ensure timely delivery of large-scale data solutions.

You will design ETL/ELT pipelines, optimize cloud-based architectures, and ensure reliable performance of the data platform.

Qualifications

• Bachelor's degree or equivalent experience.
• Expertise in Data warehousing and modern data lake concepts.
• 8+ years of experience in Data Engineering using tools such as Informatica/IICS, Oracle DB and Oracle packages.
• 5+ years of experience working with Cloud like OCI, AWS, and Azure on Data technologies.

Responsibilities

• Lead Data Engineer must have hands-on experience developing and delivering data solutions with AWS and/or Oracle technologies.
• Work with data from financial and operational systems such as Oracle ERP Sales, Oracle DB and data modelling (SCD).
• Run cloud platform with optimized solution architecture to meet daily runbook SLA.
• Use Git and Jira for version control and project management in Agile/Kanban.
• Design and build end-to-end data pipelines and data models for fast processing.

Skills

Informatica/IICS

Oracle DB

AWS

Databricks

Python

Scala

Java

Node

Unix shell

GIT

Jira

Education

Bachelor's degree or equivalent

Tools

GIT

Jira

Job description

McGraw Hill is seeking a Lead Data Engineer to enhance its data platform, delivering actionable insights across financial, product, and customer data streams. The role requires hands-on data engineering with AWS and Oracle technologies, strong data modeling skills, and collaboration with stakeholders to ensure timely delivery of large-scale data solutions.

You will design ETL/ELT pipelines, optimize cloud-based architectures, and ensure reliable performance of the data platform.