Verified Job
Warehouse / Logistics
Manager, Software Engineer(Databricks, Snowflake, AWS, Azure)
Warehouse / Logistics
#514704
Remote / WFH
Job Description
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
Manager, Software Engineer(Databricks, Snowflake, AWS, Azure)
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
The Mastercard Data Warehouse team is looking for an Engineering Manager, Cloud Data Platforms to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and priniples in the Big Data space. This role will be responsible for enablement of Cloud data platforms for Mastercard transaction data warehouse. These are new platforms that will operate in a hybrid model along side Mastercard's existing on-premise Hadoop Data Warehouse that is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization.
Role
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget
Develop and build solutions on cloud data platforms like Snowflake and Databricks adhereing to industry standards.
Build governance framework for cloud data storage and usage for enterprise data warehouse.
Collaborate on cross-functional agile teams that include Front-end Developers, Report/BI Developers and Product Owners to implement the next generation of enterprise application
Work closely with Product Owners to develop beautiful, usable UIs and creative visualizations
Manage a team of highly skilled Data warehouse and Business Intelligence developers
Provide technology leadership to development team in relevant domain
Provide technology leadership to other leaders
Stay abreast of Analytics technology trends and industry best practices to hone and maintain your talent
Participate in architectural discussions , iteration planning, and feature sizing meetings
Adhere to Agile processes and participate actively in agile ceremonies
Stakeholder management skills
All About You
Experience managing, developing and supporting Big Data warehouse and/or BI reporting solutions, ETL solutions and other analytics solutions. Exposure to new technology trends like R, Python and similar technology is added advantage.
Experience in managing development/engineering teams in a global environment
People management experience
Understanding of Exadata/Oracle/Netezza/SQL server databases
Hands on experience with Cloud data platform - Snowflake and Databricks.
In depth practical experience on cloud technology stack - Azure and/or AWS.
Strong understanding of cloud devops practices and implementation.
Hands on expereince on various cloud services like Azure Data Factory, NiFi, Snowpipe, Athena etc.
Understanding of cloud data governance include compute optimization, cost control, user profile management etc.
Experience in establishing new engineering team and working towards taking the team to steady state
Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
Prior Reporting development experience in Data Warehouse environment
In-depth understanding of Business Intelligence solutions for customers
Exposure and understanding of complete SDLC
Experience in AGILE methodology
Experience in working in global teams and should be technically strong
#AI3
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.
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
Manager, Software Engineer(Databricks, Snowflake, AWS, Azure)
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
The Mastercard Data Warehouse team is looking for an Engineering Manager, Cloud Data Platforms to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and priniples in the Big Data space. This role will be responsible for enablement of Cloud data platforms for Mastercard transaction data warehouse. These are new platforms that will operate in a hybrid model along side Mastercard's existing on-premise Hadoop Data Warehouse that is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization.
Role
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget
Develop and build solutions on cloud data platforms like Snowflake and Databricks adhereing to industry standards.
Build governance framework for cloud data storage and usage for enterprise data warehouse.
Collaborate on cross-functional agile teams that include Front-end Developers, Report/BI Developers and Product Owners to implement the next generation of enterprise application
Work closely with Product Owners to develop beautiful, usable UIs and creative visualizations
Manage a team of highly skilled Data warehouse and Business Intelligence developers
Provide technology leadership to development team in relevant domain
Provide technology leadership to other leaders
Stay abreast of Analytics technology trends and industry best practices to hone and maintain your talent
Participate in architectural discussions , iteration planning, and feature sizing meetings
Adhere to Agile processes and participate actively in agile ceremonies
Stakeholder management skills
All About You
Experience managing, developing and supporting Big Data warehouse and/or BI reporting solutions, ETL solutions and other analytics solutions. Exposure to new technology trends like R, Python and similar technology is added advantage.
Experience in managing development/engineering teams in a global environment
People management experience
Understanding of Exadata/Oracle/Netezza/SQL server databases
Hands on experience with Cloud data platform - Snowflake and Databricks.
In depth practical experience on cloud technology stack - Azure and/or AWS.
Strong understanding of cloud devops practices and implementation.
Hands on expereince on various cloud services like Azure Data Factory, NiFi, Snowpipe, Athena etc.
Understanding of cloud data governance include compute optimization, cost control, user profile management etc.
Experience in establishing new engineering team and working towards taking the team to steady state
Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
Prior Reporting development experience in Data Warehouse environment
In-depth understanding of Business Intelligence solutions for customers
Exposure and understanding of complete SDLC
Experience in AGILE methodology
Experience in working in global teams and should be technically strong
#AI3
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.
