Data Engineer - Ireland
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
What will you do? What are we looking for?
Data Engineer (II)
As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines, data serving, data lakehouse, and analytics systems, enabling mission critical decision making, downstream, AI-powered capabilities, and more.
If you're passionate about building data infrastructure and platforms that power modern Data- and AI-driven business at scale, we want to hear from you!
Your Day
Develop new or improve and maintain existing large-scale data infrastructures and systems for data processing or serving, optimizing complex code through advanced algorithmic concepts and in-depth understanding of underlying data system stacks Create and contribute to frameworks that improve the effi cacy of the management and deployment of data platforms and systems, while working with data infrastructure to triage and resolve issues
Prototype new metrics or data systems Defi ne and manage Service Level Agreements for all data sets in allocated areas of ownership
Develop complex queries, very large volume data pipelines, and analytics applications to solve analytics and data engineering problems
Collaborate with engineers, data scientists, and product managers to understand business problems, technical requirements to deliver data solutions
Engineering consulting on large and complex data lakehouse data
You Must Have
BS in Computer Science/Engineering, relevant technical field, or equivalent practical experience, with specialization in Data Engineering
3-5 years of experience in Data Engineering (ETL, data lakehouse, Data Modeling)
Strong fundamentals: algorithms, distributed computing, data structure, database, data warehouse
Fluency with: Python/Java/SQL
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations
Preferred
MS/PhD in Computer Science/Engineering or relevant technical field, with specialization in Data Engineering
2+ years experience in Hadoop/Apache technologies (Pig, Hive, HBase, Storm, Spark, Kafka, Oozie)
2+ years experience in Google Cloud Platform technologies (BiqQuery, Dataproc, Dataflow, Composer, Looker)
