Data Engineer - Sr. Consultant level @ Visa

Job Description

Strong technology and leadership background building enterprise scale applications using Scala/Java, Spring, REST APIs, RDBMS, and Angular/React. Machine Learning, Data Engineering (Hadoop, Hive, Spark), NoSQL, Kafka, and Data Pipelines desirable. Design and deploy data and pipeline management frameworks built on top of open-source. components, including Hadoop, Hive, Spark, MongoDB, Kafka streaming and other Big Data technologies. Champion Design and Coding best practices while technically leading a small team. Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium. Familiarity or experience with data mining, data science, machine learning and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is preferred Responsible for the design and implementation of an innovative, scalable, and distributed systems that take advantage of technology to allow standardization, security, timeliness and quality of data. Work with and manage remote teams Work with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goals. Work closely with senior engineers to develop the best technical design and approach for new product development. Instill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedules. Project management: prioritization, planning of projects and features, stakeholder management and tracking of external commitments Operational Excellence: monitoring & operation of production services Identify opportunities for further enhancements and refinements to standards and processes. Mentor junior team members, develop departmental procedures and best practices standards. Hire and retain world class talents to deliver data platform projects. Strong Negotiation Skills: You will be a distinguished ambassador for product development, collaborating, negotiating, managing tradeoffs and evaluating opportunistic new ideas with business partners This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Qualifications Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred Requires 12+ years of experience, at least 3 of which were in leading engineering teams 7+ years of hands-on experience in Hadoop using Core Java Programming, Spark, Scala, Hive, MongoDB, Streaming, Kafka and any ETL tool exposure Strong knowledge of Database concepts and UNIX. Experience in handling very large data volume in low latency and/or batch mode Proven experience delivering large scale, highly available production software. Ability to handle multiple competing priorities in a fast-paced environment A deep understanding of end-to-end software development in a team, and a track record of shipping software on time Experience working in an Agile and Test-Driven Development environment. Strong business and technical vision Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate architectural issues and concepts to multiple organization levels and executive management. Quick learner, self-starter, detailed and work with minimal supervision Additional Information

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Data Engineer - Sr. Consultant level

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Keyskills:   Scala Java Spring RDBMS Angular Machine Learning Data Engineering Hadoop Hive Spark NoSQL Kafka Continuous Integration Jenkins Artifactory Git Selenium Data Mining Data Science Statistical Modeling Decision Trees MongoDB Continuous Integration Product Management Technical Design Project Management Operational Excellence Mentoring Hiring Negotiation Skills REST APIs React Data Pipelines Automated Test Regression Modeling Clustering Techniques Big Data Technologies Design Coding Best Practices Automated Test Tools Data Management Frameworks Opensource Components Remote Teams Management