Manager, Software Engineering (Snowflake, Hadoop, Spark, Tableau, Power BI, and WebFOCUS, Agile/Scrum, People Management)

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

Manager, Software Engineering (Snowflake, Hadoop, Spark, Tableau, Power BI, and WebFOCUS, Agile/Scrum, People Management)

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.

Role :

The Commercial Expense Reports and Analytics department provides a best-of-breed expense reports and cost allocation tool for issuers and corporations all over the world.

This position will lead a team of employees and contractors in their career growth. Mentorship, problem resolution and team-building will be essential to succeed in this role. This position will also be responsible for leading software engineering projects in developing high quality, secure, scalable reporting and analytics related applications based on technical/functional requirements specifications and design artifacts within expected time and budget. Responsible for assuring the daily activities of the team meet the requirements of SLA’s.

Team members may be developers, testers, analysts, & architects. The team is cross-functional, which means that between all its members they possess sufficient skills to do the work.

Responsibilities :

• Provide ongoing guidance to teams on professionalism, career growth, development standards, automation and tools and processes such as Agile, Lean, etc.
• Work with Product Management and Engineering to translate product use cases and requirements to industry-leading design, architecture and implementations. Influence the product owner to balance the business and technical priorities and the value of the architecture work.
• Responsible for end-to-end development of full-stack Java applications including programming, unit testing, integration testing, documentation, maintenance and support of systems application software in adherence with Mastercard standards, processes and best practices.
• Execute and own the baseline architecture implementations and design activities collaborating with other Engineers & Engineering Team.
• Collaborate with business and technical partners to identify and scope the opportunities, outline potential value and ROI, identify risks, benefits and constraints.
• Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems and independently perform assigned tasks.
• Document software programs as per software development best practices. Follow Mastercard quality assurance and quality control processes, managing security best practices in product code, design, infrastructure and architecture.
• Support defect management, code versioning, and code deployments.
• Ensure robust test coverage for full-stack applications including unit testing and support integration and performance testing.
• Collaborate with data engineers to optimize ETL pipelines, data processing workflows, and database design for analytics needs.
• Perform feature/enhancement estimates, demonstrations and related activities.
• Support level 3 production problem management including root cause identification and resolution.
• Develop overall strategic technical plans, including recommendations for both software engineering and data engineering solutions to address identified gaps.
• Regularly communicate with management about risk analysis and design trade-offs.
• Participate & contribute in Product kick off sessions & Requirement workshops for Direction and course correction w.r.t. domain based solutions, technology feasibility, competence requirements, resources requirements
• Participate in development and code review of key functionalities.



All About You

Essential Knowledge, Skills, and Experience
• Proven experience leading full-stack software development teams in a geographically distributed and/or remote work environment
• Track record demonstrating the ability to build a diverse and strong team – attracting, hiring, retaining, motivating the best talent
• Strong technical expertise in Java-based full-stack development, including frameworks such as Spring Boot and Hibernate, as well as front-end technologies like Angular or React.
• Experience providing innovative analytical solutions that have lasting impact in multiple dimensions; strategic, operational, and financial
• Knowledge of data science concepts, including working with structured and unstructured data and delivering analytics-driven features.
• Creative and nimble with ability to overcome obstacles to solve hard problems
• Flexible and responsive, with ability to adapt to rapid change in direction or business priority
• Openness to feedback and strong self-awareness
• Ability to work within the confines of data governance and privacy standards
• Strong problem-solving abilities involving integration between application logic, data pipelines, and visualization.

Desirable
• Experience managing and analyzing structured and unstructured data using tools such as SQL, R, or Python
• Experience with distributed databases or big data platforms such as Snowflake, Hadoop, or Spark.
• Familiarity with ETL tool capabilities and utility (e.g., Alteryx, Informatica)
• Experience in BI tools (like Tableau, Power BI, and WebFOCUS)
• Experience with Agile/Scrum environment preferred

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 💰

Tags: Agile Angular Architecture Big Data Data governance Data pipelines Engineering ETL Hadoop Informatica Java Pipelines Power BI Privacy Python R React Scrum Security Snowflake Spark SQL Tableau Testing Unstructured data

Perks/benefits: Career development Flex hours Flex vacation Startup environment Team events

Region: Asia/Pacific
Country: India

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