Lead Software Engineer

Pune, India

Mastercard

Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.

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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 Software Engineer

Overview

The Data & Analytics team is looking for a Cloud Big Data Lead Engineer to drive our mission to unlock potential of data assets on AWS cloud by consistently innovating, and moving data to our Cloud platforms and making our business engineering team consume it with the set standards and principles. Our Cloud Data Platform (Snowflake) 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 - Snowflake Lead - L6

• Setup the Snowflake platform for use by different personas who want to build use cases on Snowflake
• 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 / warehouses on cloud data platforms - Snowflake- adhering to industry standards.
• Build governance framework for cloud data storage and usage for enterprise data platforms.
• Enrich / enable Snowflake platform with new features / capabilities from time to time
• Collaborate on cross-functional agile teams
• Work closely with Product Owners to understand cloud use cases and determine the best way to implement those.
• Provide technology leadership in Azure/AWS and Snowflake
• Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent
• Participate in architectural discussions, iteration planning, and feature sizing meetings
• Creation of HLD / LLD and attend review with review boards for approvals
• Adhere to Agile processes and participate actively in agile ceremonies
• Stakeholder management skills

All About You
•15+ years of hands-on experience with Cloud data platform - most and recent experience in Azure/AWS Snowflake
•Hands on experience in Snowflake and deep understanding of its architecture, capabilities, features, possibilities
•Hands on experience with various types of database technologies
•Experience managing, developing and supporting data lakes, lake houses, warehouse on premise and on cloud, ETL solutions and other analytics solutions.
•Experience with various file formats that support big data
•Experience working with development/engineering teams in a global environment
•In depth practical hands-on experience on native cloud services (Azure and/or AWS) and Python, Scala, SQL
•Strong understanding of cloud DevOps practices and implementation.
•Experience in cloud data migration for large sized enterprise data warehouse environments.
•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 SDLC and experience in establishing processes, standards and governance to bring efficiency within development team

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.




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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Azure Big Data Data governance Data warehouse DevOps Engineering ETL Machine Learning Python Scala SDLC Security Snowflake SQL

Region: Asia/Pacific
Country: India

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