Data Engineer - Big Data, Java, Hadoop, Hive, Spark Job in Bangalore at Visa

Visa is hiring for the role of Data Engineer! 

Responsibilities of the Candidate:

• Deliver high-quality products and features, taking a holistic view from the initial idea to the final delivery. This involves design, development, and testing, along with accountability for release deployments and providing support after deployment
• Understand the product in its entirety and ensure timely delivery of your assigned module in an agile team setting
• Accurately scope effort, identify risks and clearly communicate trade-offs with the team members and other stakeholders
• Coordinate and participate in Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing to core product code
• Effectively communicate status updates, issues, and potential risks accurately and promptly
• Perform other tasks related to data governance and system infrastructure, as and when required

Requirements:

• Bachelor’s Degree in Computer Science, Information Systems, or a related field
• Minimum of 1 year of software development experience (with a concentration in data-centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
• Strong knowledge of data structures, and algorithms and passion for solving hard problems
• Experience with Big Data technologies (Hadoop, Java, Spark, Kafka, Hive)
• Good knowledge of Unix/Linux and SQL
• Experience with data visualization and business intelligence tools like Tableau, or other programs is highly desired
• Familiar with software design patterns
• Experience in working within an Agile framework
• Good knowledge of API development is a big plus
• Strategic thinker with strong business sense, capable of aligning data engineering efforts with the business requirements of both internal and external clients
• Demonstrated intellectual and analytical rigor, strong attention to detail, team-oriented, energetic, collaborative, diplomatic, and flexible style