14 days old
2018-04-112018-06-10

Sr. Staff Data Software Engineer - Visa

Austin, Texas

Company Description

CyberSource, a Visa company, is a global leader in e-Commerce Payment Management. As part of CyberSource’s continued growth and expansion we are looking for talented, articulate and bright individuals who want to make a difference.

CyberSource has been and continues to be a pioneer within the e-Commerce Payment Management world. CyberSource offers a full-service payment management platform for e-commerce merchants, combining global payment processing, fraud management and payment security systems.

 

Job Description

We are seeking an experienced Big Data Engineer to lead and build high quality, scalable and resilient distributed systems that power our analytics platform and data pipelines. As a senior member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for it. In the process, you will identify the requirements of new features, and propose design and drive the solution. You will develop some of the key components of the platform, collaborate with cross functional teams to gather requirements and mentor junior members in the team. You will get chance to leverage your business acumen, programming skills and technical knowledge of big data. You will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit.

 

Key Responsibilities

  • Create and maintain optimal data pipeline 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 SQL 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 infrastructure needs.
  • 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 will use technologies that include Java, REST, NoSQL, Docker and more.
  • You will participate in demos and code reviews.
  • You coach and mentor your team members and help them grow professionally.

Requirements

Qualifications

  • You have a Bachelor degree in Computer Science or related field and 10+ years of Software Development Experience or a Masters with 7+ years of Software Development Experience.
  • You have proven experience leading teams that have delivered high quality large scale enterprise class applications.
  • 8+ years of experience with relational SQL and NoSQL databases, including Oracle and Cassandra.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • 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 unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Excellent debugging, critical thinking and communication skills
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Oracle and Cassandra.

     

Additional Information

All your information will be kept confidential according to EEO guidelines.

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Sr. Staff Data Software Engineer - Visa

Visa
Austin, Texas

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Austin, Texas

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