Staff Data Engineer-Core Java, Linux, Hadoop, Hive, Spark, SQL
Bengaluru, India
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany 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
This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. You will be an integral part of the Payment Products Development team focusing on design and development of software solutions that leverage data to solve business problems. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development, and testing of new functionality. Candidate must be flexible and willing to switch tasks based on team's needs.
Responsible for the design, development, and implementation
Work on development of new products iteratively by building quick POCs and converting ideas into real products
Design and develop mission-critical systems, delivering high-availability and performance
Work closely with architects, business, and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
Develop code to ensure deliverables are on time, within budget, and with good code quality
Have a passion for delivering zero defect code and be responsible for ensuring the team's deliverables meet or exceed the prescribed defect SLA
Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner
Identify opportunities for further enhancements and refinements to standards and processes
Mentor junior team members, develop departmental procedures and best practices standards
Perform other tasks on R&D, data governance, system infrastructure, and other cross team functions, on an as-needed basis
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Minimum of 6 years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
• Bachelor’s Degree or an Advanced Degree (e.g. Masters) in Computer Science/ Engineering, Information Science or a related discipline
• Minimum of 3 to 4 years of hands-on experience in building large-scale applications using open-source technologies like Hadoop, Spark, Hive, Kafka
• Minimum of 4 years of hands-on expertise with Java
• Deep knowledge of Unix/Linux
• Experience with highly distributed, scalable, concurrent, and low latency systems working with one or more of the following database technologies: MySQL, Redis
• Familiar with software design patterns
• Experience working in an Agile and Test-Driven Development environment
• Strong knowledge of API development is highly desired
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal and external clients
• Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
• Previous exposure to financial services is a plus, but not required
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile API Development APIs Computer Science Data governance Engineering Hadoop Java Kafka Linux MySQL Open Source PhD R R&D Spark SQL TDD Testing
Perks/benefits: Flex hours Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs