Big Data Engineer
Mexico City, Mexico
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 digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.
Our VCA teams offers:
Consulting services customized to the needs of Visa client's business objectives and strategy
Business and economic insights and perspectives that impact business and investment decisions
Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
Proven data-driven marketing strategies to increase clients' ROI
VCA team is looking for a passionate individual to join our consulting practice and play a role in the data engineering team. The ideal candidate is adept at using big data sets to understand our client's challenges and deploy targeted solutions to drive meaningful benefits, leveraging our world-class payment knowledge, in combination with our diverse service offerings to address key strategic needs for Visa's clients including issuers, acquirers and merchants.
He/She must have experience using a variety of data mining/data analysis methods, using a variety of distributed data platforms, and leveraging the latest open-source technologies. He/She must have a proven ability to drive business results with their data-based insights. Adept at creative and critical thinking, be able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.
Responsibilities
Automate and standardize data processes developed by team members.
Leverage DevOps to create end-to-end streamline CI/CD data and ML pipelines.
Review and manage data pipelines, branching, and deployment process.
Work with partners on requirements and implementation designs of data solutions.
Implement data quality framework at scale using open-source technologies.
Create data monitoring dashboards with real-time notifications.
Understand VisaNet data and platform ecosystem to deploy fully automatic data applications for internal and external clients.
Unify data engineering and machine learning engineering pipelines.
Apply spark optimization techniques to production jobs to accelerate data prep.
Document process, designs, test results, and analysis.
Ability to articulate complex architectures to non-technical audiences, management, and leadership.
Continuously research industry best practices and technologies.
Evangelize end to end automation and standardization across the organization.
Partner with functional areas, and regional and global teams to leverage the breadth and depth of Visa’s resources.
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• BA/BS required, MBA or other relevant Master’s degree preferred (e.g. engineering, computer science, computer engineering, applied mathematics, or other related fields)
Preferred Qualifications
• At least 5 years of experience as data engineer or data scientist with open-source tools.
• Experience in retail banking, payments, financial services, and/or technology industries is a plus. Strong interest in the future of payments is a must.
• Strong technical competency and experience with shell-scripting and Linux systems.
• Experience with CI/CD pipeline using Azure DevOps, GitHub actions, Jenkins, or Airflow.
• Strong coding skills in Spark, Python and SQL to manipulate big data in distributed platforms.
• Good to have experience in navigating in Linux/Unix/Container based apps such as Docker, Kubernetes, or Microservices environments.
• Knowledge in how to leverage AI assistance tools like chatGPT for creating and debugging code.
• Ability to interact with big data clusters using Jupiter Notebooks, terminal, or GUI.
• Demonstrate experience leveraging open-source tools, libraries, and platforms.
• Experience with data visualization and business intelligence tools like Tableau, PowerBI, Microstrategy, or Excel.
• Problem solving ability and process creator with strategic focus on replicability, scalability, innovation, and governance.
• Proficient with git for version control and code collaboration using branches and pull requests.
• Must be passionate about automation and data and able to deliver high quality work.
• Experience developing as part of Agile/Scrum team.
• Fluency in English (spoken/written). Portuguese or Spanish is a plus.
• Experience in developing integrated cloud applications with services like AWS, Azure Cloud, and GCP is a plus.
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 Airflow Architecture AWS Azure Banking Big Data Business Intelligence ChatGPT CI/CD Computer Science Consulting Data analysis Data Mining Data pipelines Data quality Data visualization DevOps Docker Economics Engineering Excel GCP Git GitHub GPT Kubernetes Linux Machine Learning Mathematics Microservices Open Source Pipelines Power BI Python Research Scrum Spark SQL Tableau
Perks/benefits: Career development Startup environment
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 MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs