Data Engineer II @ 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

Data Engineer II As an analyst on the Data Science & Engineering team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
Overview
Responsible for developing data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions
Activities include building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.
As a Data Scientist/Engineer, you will:
Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
Participate in development of data and analytic infrastructure for product development
Participate in identification and evaluation of data elements to deliver analytics for product development
Continuously innovate and determine new approaches & 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
Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
Work with small, cross-functional teams to define vision, establish team culture and processes
Consistently focus on key drivers of organization value and prioritize operational activities accordingly
Identify and acts upon product improvement opportunities
Aggregates and collates client data sets and conducts data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights
Cleans and structures data sets fed to downstream analytics
Escalates technical errors or bugs detected in project work
Ideal Candidate Qualifications:
Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering
Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses
Experience developing and configuring dashboards is a plus
Demonstrated judgement when escalating issues to the project team
High proficiency in Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL
Curiosity, creativity, and excitement for technology and innovation
Demonstrated quantitative and problem-solving abilities
Ability to multi-task and strong attention to detail
Motivation, flexibility, self-direction, and desire to thrive on small project teams
Outstanding communication and organizational skills
Superior academic record at a leading national university
Strong English written and verbal communication skills

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: Data Engineer II

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Keyskills:   python sql debugging documentation edw big data front end open source data science problem solving digital economy machine learning high proficiency data manipulation business insights technical analysis information security communication skills predictive analytics verbal communication