Sr Data Engineer

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Sr Data Engineer

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• Uttar Pradesh, India
• Data Science & Business Intelligence
• Corporate
• Remote
• 48831
  
  

McGraw Hill LLC.

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So what makes the culture at McGraw Hill unique? It's the people, of course. We have great leaders. They care about the employees. They make fun of themselves. They are willing to listen to opposing viewpoints. We have a talented and passionate workforce focused on customers and on solutions. We have a great working environment. It's flexible, it's collaborative, it's inclusive. All ideas are welcome. McGraw Hill cares about its employees, its people, and you feel that every day.

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What makes the company culture unique at McGraw Hill?

Sylvia

Superintendent in Residence

Overview

Job Description

Build the Future

At McGraw Hill we create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide from kindergarten through graduate school. Our goal is to accelerate student success through intuitive and effective learning tools and content that maximize a teacher’s time and a student’s learning experience. Our engineering team drive progress and help build the future of learning. If you have the passion and technical expertise to thrive in an innovative and agile environment, we want to learn more about you.

What is this role about?

McGraw-Hill Education, the leading provider of digital and print educational materials is looking for a Senior Data Engineer for our Data Analytics Group.

The Senior 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 tht advanced proficiency in SQL queries. Additionally, this role requires close collaboration with stakeholders to ensure the successful delivery of projects.

What You Will Be Doing

• Senior Data Engineer must have prior hands-on experience developing and delivering data solution 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
  
  

What You Need To Be Considered

• Expertise in Data warehousing and modern data lake concepts.
• 5+ years of experience in Data Engineering using tools such as:Informatica/IICS, Oracle DB and Oracle packages. AWS services.
• Data platforms like Athena with iceberg, lambda, EMR, and glue, Data bricks.
• Scripting languages like Python, Scala, Java or node.
• 1+ years of experience in Unix shell scripting
• 3+ years of experience working with Cloud like OCI, AWS, and Azure on Data technologies.
  
  

Preferred

• 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).
  
  

Why work for us?

At McGraw Hill, you will be empowered to make a real impact on a global scale. Every day your individual efforts contribute to the lives of millions. There has never been a better time to join McGraw Hill. In our culture of curiosity and innovation, you will be able to own your growth and develop as we do.

The work you do at McGraw Hill will be work those matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

If you are curious, open to new ideas and ready to make a difference, we want to talk to you.

We have a collective passion for the work we do and a curiosity to find new solutions. If you share our determination, together we will drive learning forward.

Here’s What We Offer

At McGraw Hill, you will be empowered to make a real impact on a global scale. Every day your individual efforts can contribute to the lives of millions.

McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

48831

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with “like skills” based on resume and job data. To request an alternative screening process, please select “Opt-Out” when asked to “Consent to use of Automated Employment Decision Tools” during the application.

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