Sr. Data Engineer (Spark, BigData Hadoop, 4+)
- Cloud Visa Immigration
- 4 to 8 Yrs
- All India
- 5 days ago
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Job Description
- Company Description Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description This position is for a Senior Data Engineer with development experience who will focus on creating new capabilities in the Risk space while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing, and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production-ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything. You will be an integral part of the development team, sometimes working on new requirements and design to build new product or service from ground up and at times making changes to an existing system to add new features or refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. You will perform hands-on activities including design, documentation, development, and test of new functionality. You must be flexible and willing to switch tasks based on teams needs. This position will be based in Bangalore, India and reporting to Director of Software Engineering. 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 for both of us. Essential Functions Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions Engagement in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding, deep understanding of the business needs is important. Understand business requirement and create design documentation Facilitating design reviews to provide input on functional requirements, product designs, schedules, or potential problems Work with other engineering teams to facilitate a common approach to continuous integration that includes build automation, test automation, and deployment automation Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved 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 Basic Qualifications 4 or more years of work experience with a Bachelors Degree or Advanced Degree (e.g. Masters, MBA, JD, MD) Experience in creating data driven business solutions and solving data problems using a wide variety of technologies such as Hadoop, Hive, Spark, MongoDB, NoSQL, as well as traditional data technologies like RDBMS, MySQL a plus Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java or Scala Experience with data visualization and business intelligence tools like Tableau is a plus Experience with or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git etc. Experience with or knowledge of Agile and Test-Driven Development methodology Strong analytical skills with excellent problem-solving ability Additional Information ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sr. Data Engineer (Spark, BigData Hadoop, 4+)
Contact Details:
Company: VisaLocation(s): All India
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Keyskills: Java Scala Hadoop Hive Spark MongoDB NoSQL RDBMS MySQL Perl Python Tableau Continuous Integration Jenkins Artifactory Git Agile
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