SW Engineer II @ NCR Corporation

  The NCR Voyix Payments Full Stack Software Engineer will be responsible for front-end and back-end solution design, software development, code quality, data security, production readiness and performance tuning. The ideal candidate is an intermediate software engineer who enjoys building data systems from the ground up. The Software Engineer will support database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

• Be part of an Agile team, participate in all Agile ceremonies activities and be accountable for the sprint deliverable
• Maintain an optimal data delivery architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure and GCP big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data delivery needs.
• Keep our data separated and secure across national boundaries through multiple data centers and cloud regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements:

• 3+ years of experience in software testing or software engineering
• 1+ years in non-functional automation performance testing
• 1+ years in Public Cloud based engineering
• 1+ years in high volume transaction processing
• Intermediate working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with databases.
• Basic working skills with data security.
• Basic working skills with query performance tuning.
• Experience building and optimizing big data data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with structured and unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with ETL,and big data integration services: Confluent Kafka, BigQuery, Data Bricks, Data Factory, etc.
• Experience with relational SQL and NoSQL databases, including DataBricks, BigQuery, Azure Data Warehouse, etc.
• Experience with stream-processing systems: kSQL, Flink SQL, dbtLabs, DataBricks, Spark-Streaming, etc.
• Preferred experience with Typescript or other object-oriented, functional and scripting languages: Python, Java, C#, Scala, etc.
• Preferred experience with React or other front-end languages: Angular, Blazor, Razor, etc.
• Experience with web development frameworks: ASP.NET, Node.js, etc.
• Experience with Dev Ops tools: CI Dev Ops: GitHub, GitHub Actions, Jenkins, JIRA, Chef, Sonar
• Experience with Testing tools: PractiTest, NUnit, Selenium, BlazeMeter

• Strong computer science fundamentals: OOP, design patters, data structures algorithms
• Experience with unit testing, integration testing, performance testing and user acceptance testing.

General knowledge, skills and abilities:

• Knowledge of financial services payments industry
• Azure or GCP Public Cloud Technologies
• Knowledge of end-to-end systems development life cycles (including agile, iterative, and other modern approaches to software development)
• Verbal and written communication skills to technical and non-technical audiences of various levels in the organization (e.g., executive, management, individual contributors)
• Quality assurance mindset
• Positive outlook, strong work ethic, and responsive to internal and external customers and contacts
• Knowledge of networking, computing platform, storage, database, security, middleware, network and systems management, and related infrastructure technologies and practice