Data Engineer-Hadoop, Apache Spark, Python and SQL-(1-2 yrs of work exp)
Posted 105 days ago
Job Description
This job posting has expired and no longer accepting applications.
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
TBD
Qualifications
Basic Qualification:
Bachelor's degree, OR 3+ years of relevant work experience
Preferred Qualification:
Bachelor's degree, OR 3+ years of relevant work experience
Master's or bachelor's degree in computer science or related fields required.
Demonstrated ability in delivering high-quality, large-scale, enterprise-class data applications.
Expertise in big data engineering with knowledge of Hadoop, Apache Spark, Python and SQL.
Proficiency in creating and managing large-scale data pipelines and ETL processes.
Experience developing and maintaining Spark pipelines and productizing AI/ML models.
Proficient in technologies like Kafka, Redis, Flink,.
Skilled in Unix or Python scripting and scheduling tools like Airflow and Control-M.
Experience with data storage technologies and databases (e.g. MySQL, DB2, MS SQL).
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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