Sr . Data Engineer - Bengaluru/Bangalore @ Visa Inc

This position is ideal for an experienced SW engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. You will be an integral part of Loyalty & Marketing Services team focusing on design and build of software solutions that leverage data to solve business problems.

Responsibilities

• Responsible for the design, development and implementation.

• Work on development of new products iteratively by building quick POCs and converting ideas into real products.

• Design and develop missioncritical systems, delivering highavailability and performance.

• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.

• Develop code and mentor junior developers to ensure deliverables are on time, within budget, and with good code quality.

• Have a passion for delivering zero defect code and be responsible for insuring the teams deliverables meet or exceed the prescribed defect SLA.

• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code.

• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Basic Qualifications

• BS/MS in Computer Science, Computer Engineering, or related field

Preferred Qualifications

• 4 years of software design and development experience

• Must have strong experience in Hive and Unix

• Strong foundation in computer science, with strong competencies in data structures, algorithms and software design optimized for building highly distributed and parallelized systems

• Minimum of 3 to 4 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, and Hive, Spark or equivalent

• Demonstrated hands on experience building Big Data solutions. Expertise in Big Data technologies in Hadoop ecosystem Hive and Spark etc