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Visa

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3.5

based on 357 Reviews

Video summary

118 Visa Jobs

Data Engineer

Visa Inc

3.5

based on 357 Reviews

1-3 years

₹ 16 - 25L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Engineer

Visa

posted 6hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning Data Mining Release Management

+ 3 more

Job Description

We are looking for versatile, curious, and energetic Data Engineers who thrive on solving complex challenges on a global scale. As a Data Engineer at Visa, you will be an integral part of a multi-functional development team, working on architecting intricate big data systems and developing diverse analytical practices to address complex data challenges. You will leverage your comprehensive knowledge of ETL and data engineering techniques to develop and maintain data and tools that provide self-service capabilities to business users. While solving or consuming large transactional data, you will work with powerful payment technology and witness your efforts shaping the digital future of monetary transactions. Your ability to work across functions and teams will drive results and foster a culture of engineering excellence and innovation. We seek motivated individuals who take initiative and have a knack for rapid learning.

Key Responsibilities :

A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
Develop and maintain scalable data pipelines, ETL processes, and data warehousing solutions.
Ensure data security and compliance with best practices and regulations.
Utilize tools like Spark, Hadoop, Hive, Scala, Python, and SQL for data analysis and processing.
Apply knowledge of Agentic AI and Generative AI models, including GPT-3 and GPT-4, to develop innovative data solutions.
Create innovative prototypes and regularly influence senior leadership through continuous prototyping.
Work effectively both as a team member and independently with minimal supervision.

The Skills You Bring :

Energy and Experience : A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
Challenge the Status Quo : Comfort in pushing the boundaries, hacking beyond traditional solutions
Language Expertise :
Expertise in one or more general development languages (eg., Python, Java, Spark)
Experience in solving data problems using technologies such as Hadoop, Hive, and Spark.
Builder : Experience building and deploying modern services and web applications with quality and scalability
Learner : Constant drive to learn new technologies such as data models, data mining, and segmentation methods, along with proficiency in developing scalable platforms from scratch, including architecture design, implementation, and deployment.
Partnership : Experience collaborating with Product, Data Analysts, and Agile/Scrum teams to provide data insights and support analytical needs.

Basic Qualifications:
Associate: Minimum of 6 months of work experience or a Bachelors Degree

Preferred Qualifications:
Associate: 2 or more years of work experience
1 - 3 years of wo

Employment Type: Full Time, Permanent

Read full job description