Lead, Big Data Analytics & Engineering @ Mastercard

Job Description

Our Purpose

We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Lead, Big Data Analytics & Engineering 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 Cyber & Intelligence Solutions (C&I) team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercard s various customer segments. Platform Innovation team in C&I 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 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:
We are seeking a Lead, Big Data Analytics & Engineering who will:
Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets.
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 & Unify 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
Overall 8-10 year of experience into analytics domain
Good understanding of streaming technologies like Kafka, Spark Streaming. Proficiency in one of the programming language preferably PySpark, Scala or Python.
Experience with Enterprise Business Intelligence Platform/Data platform.
Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
Experience with data integration tools ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
Experience with data bricks, snowflake to build ETL pipeline and cloud data management.
Experience with Graph Database would be preferred.
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.

Employement Category:

Employement Type: Full time
Industry: BFSI
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Lead, Big Data Analytics & Engineering

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Keyskills:   big data analytics big data data mining data science data analysis data analytics data solutions digital economy machine learning data integration digital identity product management data visualization product development enterprise business information security information products business intelligence programming languages financial institutions