MTS 1, Data Engineer

What you need to know about the role- Meet our team PayPal's GFC (Global Financial Compliance) Data Solution team is closely work with the various world-class data driven e-payment related businesses.

Your way to impact- 

You will face the complex big data challenges or problems for fin-tech industry domain, which turns the big data to more valuable business insights. You do not only understand the data deeply but also develop the enterprise-level data algorithm and solutions for huge amount of data, various types of data for more business insights with high ATB, SLA, and short TTM.

Your day to day –

• Works with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.
• Supports PayPal business units by providing data in a ready-to-use form to data analysts and data scientists for Business insights, predictive analytics, machine learning, etc.
• Owns and is accountable for the design and development of a Data solution feature or a Data Pipeline with high reliability, stability, scalability and performance.
• Design or develop data model and enrich the analytical data sources for further usability and availability by advanced & cutting-edge technology.
• Collaborate with other teams or groups to identify challenges and design solutions

What do you need to bring-

• BS degree in Computer Science or Engineering
• 3+ years of experience in software engineering.
• 2+ years working in data engineer or a similar role in large enterprise data warehouse team preferred.  
• Solid programming/scripting skills, like Java, Scala, Unix/Linux Shell Scripting, etc.
• Good understanding of database principles and SQL beyond just data access
• Good understanding of Data Modelling Concepts, experience with modelling data and metadata to support relational & non-relational database implementations; experience with building Logical and Physical data models.
• Familiar with various big data technologies, open source data processing frameworks. E.g., Spark, Flink, Hadoop, HBase, ElasticSearch, Hive, etc.
• Good understanding of data processing, data structure optimization and design for high scalability, availability, reliability and performance.
• Good understanding of REST-oriented APIs, understanding of distributed systems, data streaming, Complex Event Processing, NoSQL solutions for creating and managing data integration pipelines for Batch and Real Time Data needs.
• Strong analytical and problem solving skills.
• Work and collaborate well with executives and customers
• Excellent oral and written communication skills in English

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.