Senior Data Engineer

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

• 5+ years of relevant work experience and Bachelors degree or with an Advanced Degree
• 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.