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 (e.g., 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.
**We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa.
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)
•Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility.
•Proven hands-on capability in the development of data pipelines and data engineering.
•Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark.
•Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala.
•Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras.
•Familiarity with machine learning algorithms and statistical models is beneficial.
•Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization.
•Extended experience in Agile Release Management practices, governance, and planning.
•Strong leadership skills with demonstrated ability to lead global, cross-functional teams.