Senior Data Engineer

Mastercard is hiring a Senior Data Engineer in Pune, India. Level rates it ; you can apply on Level.

AI in this role

databricks

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 Data Engineer

Data Engineer, D&A

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

Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions.

Role

The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance collaborative workplace. A Data Engineer will:

Independently executes projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base

Act as an expert data resource within the team

Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors

Build trust-based working relationships with peers and clients across local and global teams

Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group

Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing

Comply and uphold all MasterCard internal policies and external regulations

All about you:

BE/BTech in any discipline.

Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener

Expertise with hands-on experience with ETL technologies, preferably Pyspark or Databricks; Proficiency with at least one scripting language (preferably Python)

Proven self-motivated leader with experience working in teams

Demonstrate excellent skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation and quality control to own and team work product

Able to balance multiple projects and differing project priorities

Flexible to work with global offices across several time zones

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.

How we rate this

Senior Data Engineer at Mastercard rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.