Data Engineer Bangalore null

About

At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do. We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too. PayPal is headquartered in San Jose, California and its international headquarters is located in Singapore.

Job Description

Sr Data Engineer will directly report to and support Director of Finance Technologies in the development and execution of strategic transformation programs & initiatives, strategic engineering architecture design, resource allocation, and platform performance monitoring. The nature of role is strategic, analytical and highly collaborative, working with team members across World and also as a liaison for Global projects.

Responsibilities:

• Build scalable systems on Hadoop, Google Cloud Platform and SAP HANA Ecosystems, lead technical discussions, participate in code reviews, 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, GCP, Hadoop, SAP HANA, Bank Analyzer(sAFI/FPSL), Teradata, S/4 HANA, FI/CO).
• Must have worked in Cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
• Must have deep expertise in modern data engineering approaches, stay on top of developments, and are aware of what leading players are doing
• Experience in building high-performance data pipelines at scale
• Highly detailed with a systematic approach, sense of responsibility, ownership 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.
• Design, develop, troubleshoots and debug software programs for databases, applications, tools, networks etc.
• Must have demonstrably strong interpersonal and communication skills (both written and verbal), to include speaking clearly and persuasively in positive or negative situations.