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Sr. Data Engineer (Python, Spark, Hadoop, Hive, 4-7 years' experience)

Visabangalore, India

13 hours ago

Job description

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.

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.

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Data Engineer Python • bangalore, India