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Senior Data Engineer, Cyber Analytics
MastercardToronto, Canada
Onsite
Full-time
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data Engineer, Cyber AnalyticsWho is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
Role:
The Senior Data Engineer, Cyber Analytics will be a key contributor in helping Mastercard develop and deliver actionable insights and products to mitigate cyber vulnerabilities across the Mastercard ecosystem. Specifically, the incumbent will:
• Develop both short- and long-term data strategies to deliver incremental value while collaborating closely with data scientists and engineers.
• Design and maintain data pipeline architecture, optimize data flow, and gather data from cross-functional teams. This includes creating and implementing a new scalable data platform using modern data technologies.
• Ensure data validity and accuracy with rigorous testing to maintain high-quality data.
• Proactively support data scientists and machine learning engineers by providing the necessary infrastructure and tools to enable the delivery of ML solutions.
• Partner with software engineering teams to deploy and validate production artifacts.
All About You:
The Senior Data Engineer, Cyber Analytics will be a key player in helping Mastercard extract value from existing data sources to better detect, understand, and prevent cyber vulnerabilities, data breaches, and subsequent fraud.
• You are fundamentally a problem-solver. You like to get into a space and understand the issues. You’re comfortable proposing solutions and working within a cross-functional team to implement that solution. You’re creative, tenacious, and kind.
• You have expertise in data – data storage, pipelines, ETL – and are always seeking to learn more. Plus, you love sharing that expertise with others, helping the whole team improve.
• You are simultaneously confident and humble, able to work independently but aware that you don’t know everything and comfortable asking for help when it’s needed. You can communicate effectively and persuasively to both technical and non-technical audiences. You advocate for your projects and solutions, but you keep an open mind to alternative proposals.
Technical Skills:
• Advanced skills in SQL/Python to script, automate, and integrate data pipelines.
• Extensive experience with Spark, relational databases, and big data tools (Hive, Impala, OOZIE, Kafka, etc.).
• Experience with ETL and workflow orchestration tools like NiFi and Airflow.
• Proficiency in building ETL pipelines in the cloud, preferably AWS.
• Expertise in Databricks, leveraging Medallion Architecture and Delta tables.
• Experience in implementing CI/CD pipelines for data workflows using Jenkins, GitHub Actions etc. and infrastructure automation using Terraform.
• Strong computer science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• Shell scripting and knowledge of Linux/Unix systems.
• As a plus, any background with web scraping techniques and/or graphical databases.
Business Skills:
• Subject matter expertise in payments, cyber, and/or fraud or proven ability to learn and master new subject matter areas.
• Creativity and innovation. Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks.
• Strong organizational skills and motivation, with a track record of working independently on expansive goals.
• Strong communication and collaboration. Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization.
Education and Work Experience:
• Higher-education degree, where you can demonstrate background knowledge of data, coding, and/or cyber (e.g., Mathematics, Statistics, Physics, Engineering, Cybersecurity, Computer Science) or work experience in which you acquired this background knowledge.
#AI
#securitysolutionsMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Senior Data Engineer, Cyber Analytics
Location
Toronto, Canada
Workplace
Onsite
Type
Full-time