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Only USC & GC :: Data Engineer with Prior Mastercard Expeirience at Remote, Remote, USA
Email: [email protected]
From:

Avinash Kumar,

ZealHire Inc

[email protected]

Reply to: [email protected]

USC/GC

need LinkedIn- UPDATED AND OLD

Mastercard. Glider required. Former mastercard preferred. 3x a week onsite in OFallon, MO.

Software Engineer II

What are your top 3 required technical skills

Understand Continuous Integration (CI) and Delivery (CD) concepts, and capabilities to support automation, pipelines, virtualization, and containerization
Fluency in one or more languages like Scala, Java, Python etc.
Understanding/experience in Apache Spark, Airflow, Databricks, AWS and related technologies

What are a couple of desired/nice to have skills

Data engineer/SDET
Knowledge of Microservices and scaling techniques
Experience using web service APIs
Ability to create good acceptance and integration test automation scripts and integrate with Continuous integration (Jenkins/Bamboo) and code coverage tools (Sonar) to ensure 80% or higher code coverage

Who 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.

Overview

Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Network, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

Graph & Tools team is looking for a Software Engineer who thrives on designing, coding, and maintaining large data processing systems, primarily in the Spark framework using Scala. Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity.

Our team is a mix of software engineers and data analysts working to ensure our inputs, algorithms, and publishing artifacts are of the highest quality and efficiency. Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites. Constant improvement and innovation are designed into our process. Your ability to learn and grow will be recognized and rewarded.

As a Software Engineer for the Graph and Tools Team, you will:

Develop big data processing systems using Scala, Apache Spark, Airflow, Databricks, AWS and related technologies

Run our ingestion and publishing processes and debug problems when they occur

Follow SDLC and best practices for clean code and architecture

Impact system architecture and improve overall system efficiency with growing business needs

Deliver assigned work with guidance from experienced team members

Understand and follow standard branching (e.g., Gitflow) and peer review practices

Understand the big picture and end-to-end logical architecture of systems in ownership areas

Provide feedback and suggestions on areas to improve

Understand requirement analysis being essential part of delivering value to our customers and partners and participate in elaboration, prioritization, and effort estimation

Understand Continuous Integration (CI) and Delivery (CD) concepts, and capabilities to support automation, pipelines, virtualization, and containerization

Understands the use of Mastercard technology policies in everyday work

Demonstrate active learning and sharing of software practices via Guild/Engineering community initiatives

Our ideal Software Engineer will have:

Self-motivated learner willing to take on challenging problems

Aptitude to learn new languages and technologies as necessary

Ability to write clean, readable, and maintainable code that follows best practices

Passion for diving deep in data and insights

In-depth knowledge of one or more Internet protocols

Experience with one or more strongly typed programming languages

BS degree in Computer Science, related degree, or equivalent

Keywords: continuous integration continuous deployment information technology green card Missouri
Only USC & GC :: Data Engineer with Prior Mastercard Expeirience
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Wed Oct 23 01:53:00 UTC 2024

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