Senior Data Engineer, Data Engineering

Mastercard; Helena (MT); Presencial; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Mastercard is hiring a Senior Data Engineer for the AI Network Services team to build unified data views from multiple sources. The role focuses on data ingestion, processing, and enabling data-driven cyber, fraud and security insights for Mastercard’s global customers and partners.

You will partner with Product, Data Science and Platform teams to deliver scalable data solutions, leverage Cloudera/DataBricks/AWS ecosystems, and drive impact across high-volume datasets and complex analytics.

Formación

• Proficient in Python data tooling (Pandas, NumPy, PySpark).
• Strong SQL and data mining/BI background.
• Experience with Hadoop and Databricks cloud platform.

Responsabilidades

• Ingest, aggregate and process large data sets to derive insights.
• Collaborate with Product, Data Science and Platform teams to deliver data solutions.
• Analyze and model data to support real-time and batch analytics.

Conocimientos

Python

SQL

Pandas/Numpy/PySpark

Databricks

Hadoop

Data Modeling

Herramientas

Apache NiFi

Azure Data Factory

Pentaho

Talend

Graph DB

Descripción del empleo

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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 EngineeringJob Description SummaryWho 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:

We are seeking a Senior Data Engineer, Data Engineering who will:

• 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

• 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.