Senior Data Engineer

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

style="text-align : inherit">

Mastercard

Overview

Mastercard is the global technology company

behind the world’s fastest payments processing network. We are a

vehicle for commerce, a connection to financial systems for the

previously excluded, a technology innovation lab, and the home of

Priceless®. We ensure every employee can be a part of something

bigger and change lives. We believe as our company grows, so should

you. We believe in connecting everyone to endless, priceless

possibilities.

Your

Role :

• Create and maintain optimal data

pipeline architecture.

that meet functional / non-functional business

requirements.

process improvements : automating manual processes, optimizing data

delivery, re-designing infrastructure for greater scalability,

etc.

extraction, transformation, and loading of data from a wide variety

of data sources using ETL processes and modern cloud

technologies.

requirements and solutions proposition before

implementation.

learning production systems by designing pipelines and engineering

infrastructure.

deployment of offline ML models into production through the use of

scalable tools and services to handle machine learning training and

inference processes.

internal process improvements : automating manual processes,

optimizing data delivery, re-designing infrastructure for greater

scalability.

scientist team members that assist them in building and optimizing

our product into an innovative industry leader.

to date with latest open-source tools for data

engineering.

and complex data platforms.

performance of existing platforms.

technologies, policies and practices that can help increase

resiliency, automation and improve platform health.

Identifying technology gaps and help business build and deliver

viable solutions.

Services products / platforms with an impact-focused on data science

and engineering.

and analytic infrastructure for product development.

Continuously innovate and determine new approaches, tools,

techniques & technologies to solve business problems and

generate business insights & recommendations.

Partner with roles across the organization including consultants,

engineering, and sales to determine the highest priority problems

to solve.

analytics solutions to a problem, taking into account usability,

technical feasibility, timelines, and differing stakeholder

opinions to make a decision.

smaller, releasable milestones to collect data and feedback from

product managers, clients, and other stakeholders.

Ensure proper data governance policies are followed by implementing

or validating Data Lineage, Quality checks, classification,

etc.

the vision, establish team culture and processes.

Consistently focus on key drivers of organization value and

prioritize operational activities accordingly.

awareness of relevant technical and product trends through

self-learning / study, training classes, and job

shadowing.

Ideal Candidate

Qualifications :

Experience leveraging

open-source tools, predictive analytics, machine learning, Advanced

Statistics, and other data techniques to perform basic

analyses.

analytical techniques, coding, and data engineering.

Experience developing and configuring dashboards is a

plus.

the project team.

Hadoop platforms & tools (Hive, Impala, Airflow, NiFi),

SQL.

technology and innovation.

problem-solving abilities.

strong attention to detail.

self-direction, and desire to thrive on small project

teams.

Spark(tuning jobs), SQL, Hadoop platforms to build Big Data

products & platforms.

and workflow management tools : NIFI, Airflow.

Comfortable in developing shell scripts for automation.

Proficient in standard software development, such as version

control, testing, and deployment.

visualization tools like tableau, looker.

year leading collaborative work in complex engineering projects in

an Agile setting e.g. Scrum.

warehousing / data lake development experience with strong data

modeling and data integration experience.

higher-level programming languages with solid knowledge of data

mining, machine learning algorithms and tools.

hands-on experience in Analytics & Computer Science.

Demonstrated basic knowledge of statistical analytical techniques,

coding, and data engineering.

deploying production-level data-driven applications and data

processing workflows / pipelines and / or implementing machine learning

systems at scale in Java, Scala, or Python and deliver analytics

involving all phases like data ingestion, feature engineering,

modeling, tuning, evaluating, monitoring, and

presenting.

skills.

skills.

as a Data Engineer in an individual contributor

capacity.

learning production systems.

through hands-on experience, to develop production machine learning

pipelines.

architecture, Computer Science, Electrical Engineering or

equivalent experience. Postgraduate degree is an

advantage.

The following skills will be

considered as a plus

computing and big data frameworks e.g. GCP, AWS, Azure, Flink,

Elasticsearch, and Beam

such as TensorFlow Extended, Kubeflow, or MLFlow

Financial Institution or a Payments experience a plus

Experience developing and configuring

dashboards

style="text-align : inherit">

style="text-align : inherit">

style="text-align : left">

Corporate Security

Responsibility

style="text-align : left">

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 :

style="text-align : left">

Abide by Mastercard’s security policies

and practices;

style="text-align : left">

Ensure the confidentiality and integrity

of the information being

accessed;

style="text-align : left">

Report any suspected information

security violation or breach,

and

style="text-align : left">

Complete all periodic mandatory security

trainings in accordance with Mastercard’s

guidelines.

style="text-align : inherit">

style="text-align : inherit">

style="text-align : inherit">

style="text-align : inherit">