MTS 1, Data Engineer

Job Description

The Data Engineer will be responsible for providing data solution and implementation of all programs under PayPal s Regulatory Reporting team. Responsibilities will consist primarily to understand business/data requirements, build data model, design and build platform to support Compliance programs. This role requires effective communication, rich data analytics experience and familiarity with reporting tools. Assist with growing Machine Learning capabilities to support regulatory compliance pain points within PayPal and work with product and business teams to integrate solutions. Key Responsibilities: Work with extremely talented peers in a fun environment building performance efficient, highly scalable, configurable solutions spanning multiple technologies and platforms Teradata, Python, ETL, HIVE, Tableau, Informatica Shell, SQLserver, etc. Ability to use data to drive products and decisions. Be able to explain complex technical concepts to management, product managers, support, and other engineers. Ability to assess new technologies and make pragmatic choices that points towards our long-term vision Pro-active response in identifying and troubleshooting integration or technical issues. Great verbal, communication and follow through skillsJob Summary:

• 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.
• Good understanding of Data Warehousing and Business Intelligence Application Design & Development
• Code is well-commented, easy to maintain, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version
• Code is thoroughly tested with very few bugs and is supported by unit tests.
• Recognized as the go-to developer for a product or major system and is seen as a leader in their specialized field.
• Participates in discussions, proposes and discusses solutions to system and product changes that are directly related to their area of focus.
• Should be comfortable working in an agile environment and with cross-functional teams, should have appetite to learn and be flexible to pick up new technology.
• Deliver strong SQL development and maintenance techniques surrounding data movement.

• 5+ years of experience building large scalable and reliable enterprise technology platforms using Big Data open-source technologies such as Hive/Hadoop, HBase, Spark, Kafka and Elastic Search or Teradata
• At least 3 years experience in large scale, production, server-side development on the JVM, Scala, Python and/or GO
• 3+ years of experience with SQL and relational database systems like Oracle, PostgreSQL or MySQL is preferable
• Optimize ETL processing of extremely large datasets; Optimization for SLAs
• Possess knowledge of data warehouse architectures, ETL, reporting/analytic tools, and data security & compliance
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Excellent oral and written communication skills with a keen sense of customer service
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Able to communicate effectively with all levels of management in a clear and professional manner; verbally and written, and possess superior people management and leadership skills

Keyskills :
equal employment opportunityjavapythondata warehousinginformaticasqlsource system analysisbusiness intelligence toolsdatadriven decision making