Software Engineer - Data Engineering
Summary
Data engineer on HMH's data engineering team in Dublin, building and maintaining pipelines that feed the Enterprise Data Lake and Data Warehouse using PySpark on AWS Glue, Kafka Connect, Kinesis Firehose, and Terraform-managed AWS infrastructure. Works closely with data science, learning science, and product teams to curate datasets and power analytics and BI.
Location:
Location: Dublin, D, IE, D02 R590
Location: Trinity Central, 152-160 Pearse St., Dublin 2.
Job Requisition ID: 17464
The role:
At HMH we’re a learning company. Our learning platforms serve millions of learners and educators.
We have interesting problems to solve, including how students interact with content from our learning platforms, how it impacts learning outcomes, and how to provide data driven guidance to maximize learner’s potential.
How we use data is at the heart of driving great learning experiences.
About the team you’re joining:
You’ll join the HMH data engineering team – here we get data into our Enterprise Data Lake and Enterprise Data Warehouse, and perform interesting data modelling.
You’ll be taking data from different sources, using big data tools to build data pipelines to serve our customer’s needs. We have many different consumers of our data, from data scientists to BI analysts to APIs. As a small and focused team, there’s a lot of flexibility, we give you the opportunity to work across many areas, to hone your data skills to where your passions lie.
More specifically you’ll be:
- Implementing data pipelines to populate our Enterprise Data Lake and Enterprise Data Warehouse using tools such as PySpark on AWS Glue, kafka connect, kinesis firehose.
- Working on improving data infrastructure (AWS) using deployment tools such as terraform, concourse.
- Working closely with our data science, learning science and product teams to develop our data analytics capabilities, curate datasets and build out valuable business intelligence dashboards.
- Automating and improving our internal processes.
- Continuously looking to improve. We a want you to seek out and actively apply best practice. We empower you to bring your ideas to the table and take a fresh look to help us continually improve technology practices, standards and methodologies.
Knowledge & Experience
Here’s what you’ll need to be successful in this role:
- ETL or data processing and orchestration experience.
- Experience in python, java – spring boot would be beneficial.
- AWS stack experience on a variety of the following services – VPC, Glue, s3, Lambda, Lake Formation, Athena, IAM.
- Experience in CI/CD tooling and terraform.
- Experience in SQL and working with relational databases.
- Kubernetes experience would be beneficial but not essential.
ABOUT US:
Houghton Mifflin Harcourt (NASDAQ:HMHC) is a global learning company dedicated to changing people’s lives by fostering passionate, curious learners. As a leading provider of pre-K-12 education content, services, and cutting-edge technology solutions across a variety of media, HMH enables learning in a changing landscape. HMH is uniquely positioned to create engaging and effective educational content and experiences from early childhood to beyond the classroom.
Houghton Mifflin Harcourt (NASDAQ:HMHC) is a global learning company dedicated to changing people’s lives by fostering passionate, curious learners. As a leading provider of pre-K–12 education content, services, and cutting‑edge technology solutions across a variety of media, HMH enables learning in a changing landscape. HMH is uniquely positioned to create engaging and effective educational content and experiences from early childhood to beyond the classroom. HMH serves more than 50 million students in over 150 countries worldwide, while its award‑winning children's books, novels, non‑fiction, and reference titles are enjoyed by readers throughout the world.
For more information, visit http://careers.hmhco.com
Houghton Mifflin Harcourt is committed to a comprehensive policy of Equal Opportunities and we aim to create a workplace which provides for equal opportunities for all employees and potential employees.
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