Lead 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

Lead Data Engineer

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.

Overview
Ethoca, a Mastercard Company is seeking a Lead Data Engineer to join our team to drive on premise solutions together with Azure cloud enablement while exploring big data solutions within our technology landscape. The role is visible and critical as part of a high performing team – it will appeal to you if you have an effective combination of domain knowledge, relevant experience, and the ability to execute on the details.
You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake experience while working with massive data volume. You will own this – our teams are small, agile and focused on the needs of the high growth fintech marketplace. You will be working across functional teams to deliver on the cloud strategy.
We are committed in making our systems resilient and responsive yet easily maintainable on premise and on cloud.

Role
Own the development of ETL/ELT, data movement, streaming and non-streaming data with a solid background in development of reports/dashboards, applications, services, user interfaces while maintaining and scaling existing solutions.
Existing solutions are built on data that resides in both SAP HANA data warehouse and Snowflake warehouse, we expect the successful candidate will always pay attention to detail: configuration, maintenance, security and reliability of data and Data Services in the different environments as we build out a state-of-the-art analytics foundation (on premise and on cloud).

• Tenured in the fields of Computer Science/Engineering or Software Engineering
• Bachelor's degree in Computer Science, or a related technical field including programming
• Experience with cloud infrastructure management and automation (preferably Azure)
• Experience with software development and configuration automation is a must have
• Expertise in designing, analyzing, and troubleshooting large-scale systems
• Capability to debug, optimize code, and automate routine tasks
• Extensive experience in Machine Learning and Artificial Intelligence
• Hands-on experience with building data lake solutions, streaming analytics solutions and code development across environments (i.e. DevOps)

All About You
• Extensive data warehousing/data lake development experience with strong data modeling and data integration experience
• Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
• Good understanding of data warehouse/data lake design patterns and best practices
• Solid understanding of data ingestion (i.e. streaming platforms like Kafka)
• Strong experience with data integration tools – ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)

Experience working:
• In a Data Warehousing and BI environment with understanding of warehousing concepts
• Cloud platforms particularly MS Azure
• Snowflake Computing
• Knowledge of Source Control System (SCS) – preferably “Git” source control
• Application frameworks (i.e. Springboot)
• Strong understanding of database change management process (DCM)
• Systematic problem-solving approach, with effective communication skills and a sense of drive
• Strong understanding and working knowledge of Continuous Integration and Continuous Deployment concepts
• Excellent written and verbal communication skills with top notch problem solving and analytical skills
• Plan and own deployments, migrations and upgrades to minimiz