Lead Software Engineer, Mastercard
Data Engineer
CA$127-203k
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
CA$127-203k
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity
- A strong background in computer science, with a deep understanding of data structures, algorithms, and software engineering principles
- A strong system design skills with the ability to design and understand system architecture to plan for platform and infrastructure capacity (e.g., database, compute, network, storage) and drive dependency prioritization to reduce cost and the delivery lead time
- Proficiency in Spark, SQL, and Scala is required
- Hands-on experience with Databricks is required
- Proficiency in Redis, ElasticCache, ElasticSearch or similar in-memory database
- Proficiency in Java or another similar Object-Oriented Programming language is highly recommended
- Working knowledge of Unix/Linux environments
- Familiarity with cloud platforms (preferably AWS) and infrastructure as it relates to data engineering and ETL processes
- Experience working with REST APIs and integrating external data services
- Experienced with working with large data sets. You’ve implemented parallel or real-time processing and addressed the limitations and challenges of working with terabytes of data
- Excellent debugging and troubleshooting skillsets, especially in analyzing core, memory, heap, thread dumps and/or removing coding errors
- Excellent understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration
- Strong communicator with the ability to explain complex concepts to both technical and non-technical audiences and to influence stakeholders across product, engineering, and acquisition teams
- Has skills to document and coach the team on the development practices and coding guidelines (e.g., branching, peer reviews, library use, logging, scanning rules, test-driven development, error handling)
- Bachelor’s degree in Computer Science, Software Engineering, or a related field or equivalent practical experience
What the job involves
- The Identity Verification group uses machine learning models, large proprietary data sets, and high volume / low latency services to help our customers reduce transaction, account takeover, and financial risks
- This position is within our Data Platform team, focused on organizing, transforming, and responsibly governing the data used by our machine learning models and Data Science teams
- The identity Graph & Ingestion team is looking for a Lead Software Engineer who thrives on designing, coding, and maintaining large data processing systems, primarily in the Spark framework using Scala
- Work as part of a Scrum team that is geographically diverse (US west coast and central Europe)
- Design, implement, and maintain our big data processing systems using Apache Spark and related technologies which fulfills the needs of Data Science across the org
- Create design documents and supporting diagrams. Incorporate feedback and negotiate trade-offs with product, security, data privacy, and other stakeholders
- Increase the capabilities and efficiency of our data processing pipeline. Lead Retrospectives and Root Cause Analysis to enable continual improvement
- Identify technical and process gaps, provide estimates for business solutions, define the initial scope/requirements of the project, and manage the scope during the lifecycle of the project
- Participate and contribute to team’s agile process and decisions. Drive prioritization decisions and trade-offs in working with product partners
- Develop documentation templates, lead and enforce development of documentation throughout the development lifecycle of the solution
- Conduct technical interviews for hiring engineering staff and raising the performance bar
- Mentor software engineers and hold system overview sessions
- Advance company engineering culture by identifying and promoting improved technologies and processes
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO, not founder)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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