Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunities Skills Required: Big Query, Skills Preferred: AIRFLOW Experience Required: Engineer 2 Exp: 4+ years Data Engineering work experience Experience Preferred: · Experience Safe Agile practices · Strong drive for results and ability to multi-task and work Independently · Self-starter with proven innovation skills · Ability to work with cross-functional teams · Commitment to quality and project timing · Education Required: Bachelor's Degree Education Preferred:Additional Safety Training/Licensing/Personal Protection Requirements:Additional Information : Work closely with Global Securitization Partners to understand their product vision and break it down into a practical backlog of user stories for the engineering development team. • Handle Development, Enhancements and Production Support in the autonomous Product Driven Organization (PDO) team • Analyze and resolve issues in Securitization applications • Analyze and design application enhancements/corrections per requirements • Develop and execute unit test plans and scripts to validate that assigned modules meet technical specifications • Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision-makers, and taking on justified technical debt • Handle rotational On-Call Support • Lead assignments with minimal direction and escalate issues as necessary to management • Be flexible to respond to changing priorities • Develop a deep understanding of the product, understanding the problems to be solved and deliver value to the customer • Work with Product Manager to understand product vision
Job Title
Data Engineer