Posted:None|
Platform:
Work from Office
Full Time
Summary
OverviewEnterprise Data Solution (EDS) 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 Software Development Engineer (Data Engineering) in Enterprise Data Solution (EDS), 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.RoleParticipant medium-to-large size data engineering projectsDiscover, 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 testAssist 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. 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.All About YouAt least Bachelor's degree in Computer Science, Computer Engineering or Technology related field or equivalent work experienceExperience in Data Warehouse related projects in product or service based organizationExpertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environmentExperience of working with Databases like Oracle, Netezza and have strong SQL knowledgeAdditional experience of building data pipelines through Spark with Scala/Python/Java on Hadoop is preferredExperience of working on Nifi will be an added advantageExperience of working in Agile teamsStrong analytical skills required for debugging production issues, providing root cause and implementing mitigation planStrong 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 statementFlexibility to work as a member of a matrix based diverse and geographically distributed project teams.
Mastercard
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