Sr. Cloud Engineer

The Mastercard Data Warehouse team is looking for Senior Engineer, 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 principles 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 Mastercards 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 adhering 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 understand cloud use cases and determine the best way to implement those.
Provide technology leadership in the cloud big data space to development and product teams.
Provide technology leadership to other leaders in big data and cloud data platform space.
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 on premise and on cloud, ETL solutions and other analytics solutions. Exposure to technology trends like R, Python and similar technology is added advantage.

Experience working with development/engineering teams in a global environment
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.
Experience in cloud data migration for large sized enterprise data warehouse environments.
Hands on experience 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
In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms.
Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts.
Experience in establishing new engineering team and working towards taking the team to steady state
Understanding of Exadata/Oracle/Netezza/SQL server databases
Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
In-depth understanding of Business Intelligence solutions for customers
Experience in AGILE methodology
Experience in working in global teams and should be technically strong

Corporate Security Responsibility

• 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.