Sr. Staff Data Engineer
$153.5k - $245.9kVisa
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer , you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications.
- Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL.
- Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models.
- Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models.
- Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates)
- Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools.
- Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases.
- Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability.
- Ability to manage component security analysis and collaborate with security teams.
- Strong work ethic, focus on immediate goals, and proven experience as a technical leader.
- Passion for mentoring juniors and helping them reach new heights.
- Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems.
- Excellent communication and interpersonal skills, and a strong team player.
$200k - $300k
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