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)
Skills Required
- BS in Computer Science/Engineering or equivalent practical experience, specialization in Data Engineering
- 3-5 years of experience in Data Engineering (ETL, data lakehouse, Data Modeling)
- Strong fundamentals in algorithms, distributed computing, data structures, databases, and data warehouse
- Fluency with Python, Java, SQL
- Self-driven, detail oriented, teamwork spirit, excellent communication, ability to multitask and manage expectations
- MS/PhD in Computer Science/Engineering or relevant technical field, 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 (BigQuery, Dataproc, Dataflow, Composer, Looker)
What We Do
Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.
