SW Engineer II

The NCR Voyix Payments Software Engineer contributes in the following:

• 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.

YOU HAVE

• 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

Role:

Industry Type:

Department:

Employment Type:

Role Category:

Education

UG:

PG: