Lead Data Engineer

McGraw Hill LLC.•UNAVAILABLE, UNAVAILABLE

7d•Remote

About The Position

The Lead Data Engineer in Data and Analytics is responsible for enhancing McGraw-Hill Education’s (MHE) business intelligence and data services capabilities, ensuring the delivery of actionable and timely insights to support financial, product, customer, user, and third-party data. This role also involves managing and monitoring the performance of the Data Platform, ensuring efficiency and reliability with hands-on data engineering, designing and architecting dynamic reporting, analytics, and modeling solutions to drive success in the education domain. The ideal candidate will have a strong data engineering background, with expertise in Oracle Cloud Infrastructure (OCI) with Exadata, Informatica Intelligent Cloud Services (IICS) and/or Databricks, AWS, with advanced proficiency in SQL queries. Additionally, this role requires close collaboration with stakeholders to ensure the successful delivery of projects. This is a remote position open to applicants authorized to work for any employer within the United States.

Requirements

Bachelor's degree in related field 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
AWS services and Data platforms like Athena with iceberg, lambda, EMR, and glue
Databricks
Scripting languages like Python, Scala, Java or node
1+ years of experience in Unix shell scripting
5+ years of experience working with Cloud like OCI, AWS, and Azure on Data technologies.

Nice To Haves

Experience with Publication and Education domain.
Prior experience or familiarity with Tableau/Alteryx.
Experience working with financial data like sales, revenue, cogs and manufacturing etc.
Experience with IBM planning Analytics (TM1).

Responsibilities

Lead Data Engineer must have prior hands-on experience developing and delivering data solutions with AWS and/or Oracle technologies.
Strong knowledge working with data from financial and operational systems, such as Oracle ERP Sales, Oracle DB and data modelling architecture with slow changing dimension (SCD).
Experience in running cloud platform with optimized solution architecture with the ability to meet the daily runbook SLA.
Strong experience with version control software like GIT and project management software like Jira with Agile/Kanban.
Strong experience with Data Modelling concepts and Modern data architecture including cloud technologies.
Ability to translate business requirements into technical requirements and deliveries.
Design and develop parallel processing ETL solutions for optimal resource usage and faster processing.
Understand ETL specification documents for mapping requirements and create mappings using transformations such as the Aggregator, Lookup, Router, Joiner, Union, Sorter, Normalizer and Update Strategy.
Create UNIX shell scripts as Informatica workflow wrapper and perform housekeeping activities like cleanup and archive files.
Experience in technical specification design - Proven experience in designing and building integrations supporting standard data modelling objects (Fact dimensions, aggregations, star schema, etc.)
Ability to provide end-to-end technical guidance on the software development life cycle (requirements through implementation).
Ability to create high-quality solution design documentation for end-to-end solutions