Senior Software Engineer

Posted 18 Days Ago
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Gurugram, Haryana
Hybrid
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
The Senior Software Engineer will drive analytics solutions, perform data preparation, identify algorithms for insights, and analyze complex data sets.
Summary Generated by Built In
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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 Software Engineer
What 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.
Our Team:
The AI & DPE team is responsible for product decisioning management and innovative product development under services business unit to address the evolving risk and security needs of all of Mastercard's various customer segments. AI & DPE team focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services to drive efficiency, re-usability and increase speed to market for our products and services.
The candidate for this position will focus on driving actionable insights and build innovative solutions out of multiple data sources using analytics, machine learning and reporting capabilities.
The Role:
We are seeking a Senior Software Engineer who will:• Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on requirement gathering in order to deliver analytics solutions that generate business value
• Perform data preparation by ingestion, aggregation, processing to drive and enable relevant insights from available data sets
• Identify and code the best suited data algorithm model for the relevant insights
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions
• Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements
All about You
• Looking for a data engineering professional with hands-on expertise in Apache Spark or Databricks to build scalable data pipelines and drive advanced analytics.• Strong SQL knowledge for data preparation and mining• Strong knowledge of writing data/machine learning algorithm in Python or R• Experience in doing data analysis and extraction on Hadoop• Experience of working on at least one reporting tool - Tableau and PowerBI is a plus• Experience in data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions• Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies• Strong understanding of the application of analytical methods and data visualization to support business decisions• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group
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.

Top Skills

Spark
Databricks
Hadoop
Power BI
Python
R
SQL
Tableau
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The Company
HQ: Purchase, NY
35,300 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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Mastercard Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
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