Lead Software Development Engineer

  Paramedical Vacancy

Job title: Lead Software Development Engineer

Company: Mastercard

Job description: Our Purpose

We work 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. We cultivate a for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Title

Lead Software Development Engineer

Overview

Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee can be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Data Engineering and platform under Data Enablement program is focused on enabling insights into Mastercard network and help build data-driven products by curating and preparing data in a secure and reliable manner. Moving to a “Unified and Fault-Tolerant Architecture for Data Ingestion and Processing” is critical to achieving this mission.

As a Lead Software Development Engineer (Data Engineering) in Data Platform and Engineering service, you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customers provide answer to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems.

Your Role

  • Lead the design the next implementation of Mastercard secure, global data and insight architecture, building new Stream processing capabilities and operationalizing “Unified Data Acquisition and Processing (UDAP) platform”
  • Technical Lead of critical data engineering service, such as Global Merchant Data Service
  • Ability to quickly identify an opportunity and recommend possible technical solutions.
  • Contribute to determining programming approach, tools, and techniques that best meet the business requirements.
  • Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
  • Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
  • Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test
  • Impact business in utilizing data-driven insights to drive growth and transformation.
  • Build and maintain data processing workflows feeding Mastercard analytics domains.
  • Facilitate reliable integrations with internal systems and third-party API’s as needed.
  • Support data analysts as needed, advising on data definitions, and helping them derive meaning from complex datasets.
  • Prototype new algorithms, experiment, evaluate and deliver actionable insights.
  • Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
  • Work with cross functional agile teams to drive projects through full development cycle.
  • Help the team improve with the usage of data engineering best practices.
  • Collaborate with other data engineering teams to improve the data engineering ecosystem and talent within Mastercard.
  • Creatively solve problems when facing constraints, whether it is the number of developers, quality or quantity of data, compute power, storage capacity or just time.
  • Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.

All About You

  • At least Bachelor’s degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience
  • Experience in Data Warehouse related projects in product or service-based organization
  • Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment
  • Experience in building and deploying production level data driven applications and data processing workflows/pipelines
  • Experience with application development frameworks (Java/Scala, Spring)
  • Experience with data processing and storage frameworks like Hadoop, Spark, Kafka
  • Experience implementing REST services with support for JSON, XML and other formats
  • Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
  • Experience of working in Agile teams
  • Strong analytical skills required for writing and performance tuning complex SQL queries, debugging production issues, providing root cause, and implementing mitigation plan
  • Strong communication skills – both verbal and written – and strong relationship, collaboration skills and organizational skills
  • Ability to be high-energy, detail-oriented, proactive, and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results
  • Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
  • Flexibility to work as a member of a matrix based diverse and geographically distributed project teams

Nice To Have

  • Batch processing and workflow tools such as NiFi
  • Familiarity with modern BI and data exploration tools.
  • Experience in developing integrated cloud applications with services like Azure or GCP
  • Experience implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

COVID-19 Considerations

We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.

In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard.

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.

Expected salary:

Location: Pune, Maharashtra

Job date: Fri, 20 May 2022 00:34:24 GMT

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