Sr. Data Engineer (3+ years, Hadoop, Spark)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa is seeking highly energetic, passionate, technology enthusiast for Data Engineering team.

The successful candidate will work as a Senior Data Engineer and be part of the Risk Solution Services team to design and develop solutions for all data requirements. The ideal candidate will bring robust technical strength in developing solutions in extremely high volume, low latency ETL workflow design and also bring an excellent understanding of data. This role will participate in design discussions, create solutions, develop programs and ensure successful delivery of business capabilities. This role will assume technical ownership of multiple applications and create robust and scalable solutions.
 Visa provides a challenging environment of volume, velocity and variety that is rarely matched.

Candidates looking forward to thrive in such environment are encouraged to apply.

Responsibilities :

• Experience on developing, maintaining and supporting big data ETL pipelines (Hadoop, Hive, Spark)
• Responsible for the implementation and test of scalable distributed ensuring security, timeliness and quality of data.
• Experience supporting production systems
• Work closely with other engineers and peers to design and develop ETL pipelines
• Work with product managers in understanding and clarifying on the requirements
• Demonstrate inclination towards continuous learning and professional development.
• Proven track record of quickly acquiring new skills and knowledge in a fast-paced environment.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications
•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Bachelors in Computer Science, or Information Systems or related field from one of the top institutes
•5+ years of experience in data technologies and applications development
•4+ years of experience in Hadoop using Core Java Programming, Scala, Spark, Kafka , Hive on Linux/Unix environment.
•Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, etc.)
•Experience in writing Spark and Hive code to process large data sets in Hadoop environments
•Strong experience with SQL for extracting, aggregating, and processing big data using Hadoop
•Development experience in one or more of the following: Scala, Python or Java.
•Basic experience with Unix/Shell or Python scripting
•Exposure to Scheduling tools like Airflow and Control – M will be a plus
•Experience using VCS like Git
•Basic understanding of RDBMs viz, MS SQL, DB2, Oracle, etc for data retrieval
•Understanding of Kafka, Apache Hudi is a plus.

Thrive in self-motivated internal-innovation driven environment.
Adapting fast to new application knowledge and changes.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.