Senior Data Engineer, Data Engineering

Mastercard Inc.; Pune District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Mastercard Inc. is seeking a Senior Data Engineer to join the AI Network Services team. You will focus on data unification across assets, enabling a single view and supporting data-driven cyber products, insights and security solutions.

The role requires strong Python, PySpark and SQL expertise, experience with Hadoop and Databricks, and familiarity with ETL/ELT tools. You will collaborate with Product, Data Science and Platform teams at Mastercard to deliver scalable data solutions.

Qualifications

• Proficient in Python with Pandas, Numpy, PySpark and Impala.
• Experience analyzing, processing and validating large data sets on Hadoop and Databricks.
• Strong SQL skills and knowledge of data mining, ML concepts, and BI reporting.
• Experience with ETL/ELT tools (NiFi/Azure Data Factory/Pentaho/Talend).

Responsibilities

• Ingest, aggregate and process data to drive insights using Cloudera/Databricks platforms.
• Collaborate with Product, Data Science and Platform teams to deliver data solutions.
• Analyze high-volume data from multiple sources and produce actionable insights.
• Develop data models and data quality checks for reliable BI reporting.
• Incorporate new data assets to enhance products and services.
• Interpret feedback from clients and teams to improve data solutions.
• Apply analytical methods and visualization to support business decisions.

Skills

Python

Pandas

PySpark

Numpy

SQL

Data modeling

Machine learning basics

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Hadoop

NiFi

Azure Data Factory

Pentaho

Talend

Job description

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 Engineering Job Description Summary 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.

Our Team

The AI Network Services Team (AI & Decision Product Enablement Program) is responsible for innovative product engineering of products and services to address the evolving risk and security needs of all of Mastercard's various customer segments. 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 across C&I and drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on Data Unification/Curation across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights.

The Role

• Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets. . Leveraging platform like Cloudera Data Engineering (CDE), Cloudera AI (CAI), Databricks, AWS to deliver the product engineering solutions.
• Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
• Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services.
• Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
• Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.

All about You

• Good understanding of Python - Pandas, Numpy, PySpark and Impala.
• Experience in doing data analysis, development, testing on Hadoop and Databricks Cloud platform.
• Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
• Experience (Good to have) with data integration tools - ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
• Experience with Graph Database is a plus.
• Experience in hands-on 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.
• Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
• 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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.