Manager, Software Engineer(Databricks,)
- Mastercard
- 5 to 9 Yrs
- Other Maharashtra
- 4 months ago
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Job Description
- Job Title: Manager, Software Engineer(Databricks, Snowflake, AWS, Azure) Overview: 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 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,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Manager, Software Engineer(Databricks,)
Contact Details:
Company: MastercardLocation(s): Other Maharashtra
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Keyskills: Snowflake AWS Azure R Python Exadata Oracle Netezza SQL Athena 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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