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 at https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html 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.
Job Title
Lead Data Engineer
Overview
Interested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe.
We are growing rapidly in Vancouver in the beautiful British Columbia, and if you wish to be part of this Priceless® experience, read below.
The Digital Insights Platform (DIP) team is looking for a Lead Data Engineer who is passionate about data and analytics , highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery.
The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data.
Role
In this role, you will:
• Provide technical leadership and expertise for architecting new platform
capabilities
• Design & Develop batch and streaming solutions using various Big Data
technologies
• Be responsible for assessing technologies and approaches for ingestion,
transformation and storage
• Develop software utilizing open source technologies to interface with
distributed and relational data sources
• Work closely with team members from across Mastercard to identify
functional and system requirements
• Understand complex application data flows and bridge the gap between
technical and business requirements
All About you
The ideal candidate for this position should:
• Strong background in distributed data processing & software engineering
and can build high-quality, scalable data products
• Experience working with distributed data technologies (e.g. Hadoop,
MapReduce, Spark, etc) for building efficient, large-scale data pipelines.
• Strong knowledge of data architectures, databases, data modeling and
data infrastructure ecosystem.
• Strong Software Engineering experience and proficiency in at least one
high-level programming language (Java, Scala, Python or equivalent) in
addition to having at least basic familiarity with Java
• Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka etc
• Be skilled at architecting large and complex data pipelines.
• Have experience working with real-time or near real-time ingestion
• Provide technical thought leadership and expertise for architecting new
platform capabilities
• Hands-on experience in building secure REST APIs
• Outstanding communicator with both business and technology audiences
• Be familiar with Agile/Scrum methodologies
• Have demonstrated ability to adapt to new technologies and learn quickly
• Have the ability to manage multiple priorities simultaneously
• Be a strong, confident, and able to communicate solution and Architecture
effectively to a wide variety of stakeholders
• Have the ability to influence and partner with teams outside of the
engineering organization
• Have experience in building high performing data teams
• Have a BS/BA degree in Computer Science, Information Systems or related
field
Due to COVID-19, most of our employees are working from home. We’ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know we’re all in this together.
Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Requisition ID: R-114979