MTS 1, Data Engineer

A Data Engineer will directly report to and support the Manager of the Credit ARP Engineering Team in the development of strategic transformation programs & initiatives, strategic engineering architecture design, and platform performance monitoring. The ideal candidate is a technologist who believes that the use of technology is in its infancy and the best is yet to come. The nature of the role is strategic, analytical, and highly collaborative, working with team members across World and also as a liaison for Global projects.

Responsibilities:

• Lead, develop, and grow a high-performance, multi-function team of talented and passionate professionals, who are results driven to take the business forward and demonstrate superior leadership in line with PayPal values.
• Build scalable systems on Hadoop, Google Cloud Platform, and SAP HANA Ecosystems, lead technical discussions, participate in code reviews, and guide the team in engineering best practices. Must be able to write quality code and build secure, highly available systems. 75% of the job requires production quality coding.
• Provide technical leadership and contribute to the definition, development, integration, test, documentation, and support across multiple platforms (Unix, Python, Apache Spark, Oracle, Airflow, Informatica)
• Highly detailed with a systematic approach, sense of responsibility, and strong, positive customer focus.  Must be results focused and highly energetic to drive the defined team and organizational goals
• Establish a consistent, project management framework and development processes to deliver high-quality software, in rapid iterations, for business partners in multiple geographies

• Interpret data, analyze results using statistical techniques, and provide ongoing reports
• Develop algorithms to transform data into useful, actionable information
• Develop and implement strategies that optimize statistical efficiency and quality
• Acquire data from source as well as other systems and maintain databases/pipelines
• Identify, analyze, and interpret trends or patterns in product domains in source data systems.
• Manage/Part of a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks, etc.
• Must have demonstrably strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.