Lead Software Engineer, Mastercard
Data Engineer
CA$122-203k
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
CA$122-203k
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
- The position involves a wide variety of technical skills, from coding to infrastructure, from data analysis to database management.
- The ideal candidate will have experience building data platform/infrastruture, enterprise solutions, and extensive knowledge about building highly redundant, scalable, and efficient automated data ETL processes for large-scale data analysis
- Has the ability to write secure code in three or more languages (e.g., Python, Java, JavaScript, PHP) and familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerabilities
- Experience with cloud technologies, especially AWS Redshift, AWS Glue Jobs and Crawler, Lake Formation/CDK Policies, Step Functions, S3, SQS, SNS, and Sparks technology
- Has good understanding of map reduce paradigm
- Experienced with steaming data such as Kafka or AWS kinesis
- Experienced with distributed computation engine such as Spark or Flink
- Experience with monitoring tools, such as DataDog, Splunk, AWS Cloud watch/Cloud trails
- Experience with analysis tools, such as Athena or Tableau
- Understands internals of operating systems (Mac, Linux) to write interoperable and performant code
- Experienced with developing and maintaining data pipelines for the extraction, transformation, and/or loading of large-scale data
- Experienced with working with large data sets. You’ve implemented parallel processing and have dealt with the limitations and challenges of working with terabytes of data
- Able to perform debugging and troubleshooting to analyze core, memory, heap, thread dumps and remove coding errors
- Has skills to document and coach team on the development practices and coding guidelines (e.g., branching, peer reviews, library use, logging, scanning rules, test-driven development, error handling)
- Has skills to undertake a technical review of code across applications and their dependencies to look for anti-patterns and promote continuous refactoring
- Understands system architecture to plan for platform and infrastructure capacity (e.g., database, compute, network, storage) and drives the dependency prioritization to reduce the delivery lead time
- Has skills to simplify deployment and eliminate software and infrastructure snowflakes using standardized platforms, ephemeral instances, and automation
- Has skills to orchestrate release workflows and pipelines to achieve CI and CD using industry-standard tools (e.g., Jenkins, Bamboo, AWS pipelines, others)
- Able to configure rules and build automation for code with vulnerability scanning and software composition analysis using standard tools (e.g., Sonar, Checkmarx, Nexus, JFrog XRay, Veracode, others)
- Has skills to define, organize, and report on test runs for major, minor, and hotfix releases (including unit, component level, system level, customer journeys, past customer issues, and regulatory controls)
- Has skills to conduct various performance tests (e.g., load, spike, breakpoint, endurance) to Understands application/service limits and behaviors
What the job involves
- We are seeking a Lead Data Engineer to join our Data and Platform team. This is a pivotal role, responsible for guiding Data Engineer design, supporting multiple Data Analysts and Data Scientists, as well as assisting on various data-driven requests across the company.
- Own complex problems having dependency across services and facilitate cross-functional team interactions to drive resolution, including large-scale data extraction, transformation and analysis
- Write code to build and enhance applications/services and promote code-reviews, code scanning, and other standard development practices to deliver high-quality data modeling and artifacts to production
- Define, architect, design, and develop procedures and solutions at a service level to meet the business requirements/enhancements
- Responsible for maintaining the tooling and infrastructure that enables our Analysts and Data Scientists to work efficiently and effectively
- Drive prioritization decisions and trade-offs in working with product partners
- Promote strategies to improve our data modeling, quality, and architecture
- Automate and simplify all aspects of software delivery and development actively evangelizing the need to automate and simplify where needed
- Drive seamless integration across all connected services to meet end-user expectations
- Support production code to produce comprehensive and accurate data artifacts
- Drive blameless postmortems culture to identify root causes of incidents and implement learnings
- Introduce new technologies and architecture by following enterprise guidelines
- Advocate for engineering principles outside of current organization/platform
- Provide development and architecture guidance to team members
- Build relationships and effective partnerships across organizations
- Write and evaluate recommendations for job promotions based on an unbiased view of one's accomplishments
- Conduct technical interviews for hiring engineering staff and raising the performance bar
- Lead by example with hands-on approaches to demonstrate engineering excellence
- Encourage staff to share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity
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
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company values
- Trust - integrity, respect, openness
- Agility - urgency and value through innovation
- Partnership - working as one team for the benefit of all
- Initiative - taking bold and thoughtful actions
Company HQ
Purchase, Harrison, NY
Articles
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.
People progressing
Joined as VP in 2008, promoted 4 times in 11 years to their current position of Executive Vice President.
Salary benchmarks
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