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)
