Sr. Cloud Engineer (Big Data, R/ Python,)
- Mastercard
- 5 to 9 Yrs
- Other Maharashtra
- 4 months ago
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Job Description
- Our Purpose Title and Summary Sr. Cloud Engineer (Big Data, R/ Python, Snowflake/ Databricks, Azure/ AWS) Who is Mastercard 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 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 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 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 #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 Mastercards 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 Mastercards guidelines.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sr. Cloud Engineer (Big Data, R/ Python,)
Contact Details:
Company: MastercardLocation(s): Other Maharashtra
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Keyskills: Big Data R Python Snowflake Azure AWS ETL DevOps Data Migration Athena Cloud Security SDLC Business Intelligence AGILE Methodology Azure Data Factory
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Mastercard
As a technology company in the global payments business, we operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard’s products and solutions ...
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