At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year.

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.

As a Data Engineer, you will be responsible for helping to blueprint and deliver modelled attributes, data assets, and self-serve workflows that solve clients' business objectives. You will get the chance to leverage your business acumen and technical knowledge of big data and data mining techniques. Based on deep understanding and knowledge of big-data engineering techniques, you will develop and maintain data and tools to enable data scientists to draw fact based insights and build models This function is critical in building market-relevant client solutions and intellectual property for Visa.

The position will be based at Visa's headquarters in Bangalore, India.

Responsibilities

• Work with manager and clients to fully understand business requirements and desired business outcomes
• Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions
• Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists
• Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
• Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
• Execute data engineering projects ranging from small to large either individually or as part of a project team
• Ensure project delivery within timelines and budget requirements
• Provide coaching and mentoring to junior team members

Qualifications

Can you take on the responsibilities described above? Then please apply!

We have a number of openings at all levels and are seeking team members that are passionate, visionary and insatiably inquisitive. Successful candidates frequently have a mix of the following qualifications:

• Skilled with  Docker & Kubernetes
• Skilled in Flink Cluster, Kafka Cluster, Redis Cluster & Elastic Search Cluster.
• Skilled at CI/CD using automation tools such as Jenkins, Ansible script.
• Experience using and configuring operational tools such as Splunk, Humio, Prometheus & Grafana. 
• Experienced at administering a code repo such as Github
• Development experience with Golang (alternatively a strong background in Scala or Java)
• Minimum of 2-3 years’ experience in production CI pipelines, utilizing big data engineering techniques that enable statistical solutions to solve business problems
• Post graduate degree in Computer Science/ Engineering, Information Science or a related discipline with strong technical experiences highly desired
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required  
• Extensive experience with SQL and big data technologies (Hadoop, Python , Spark, Hive etc.) tools for large scale data processing, data transformation and machine learning pipelines
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is very helpful
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients
• Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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