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Mastercard
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Lead, Software Engineer

Lead, Software Engineer

Mastercard

5 - 9 years

0 Lacs

haryana

Posted:2 days ago| Platform: Shine logo

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Skills Required

kafka java scala python sql data mining pentaho talend data integration data visualization spark streaming machine learning algorithms etlelt tools apache nifi azure data factory

Work Mode

On-site

Job Type

Full Time

Job Description

The role of Lead, Software Engineer at Mastercard involves playing a crucial part in the Data Unification process across different data assets to create a unified view of data from multiple sources. This position will focus on driving insights from available data sets and supporting the development of new data-driven cyber products, services, and actionable insights. The Lead, Software Engineer will collaborate with various teams such as Product Manager, Data Science, Platform Strategy, and Technology to understand data needs and requirements for delivering data solutions that bring business value. Key responsibilities of the Lead, Software Engineer include performing data ingestion, aggregation, and processing to derive relevant insights, manipulating and analyzing complex data from various sources, identifying innovative ideas and delivering proof of concepts, prototypes, and proposing new products and enhancements. Moreover, integrating and unifying new data assets to enhance customer value, analyzing transaction and product data to generate actionable recommendations for business growth, and collecting feedback from clients, development, product, and sales teams for new solutions are also part of the role. The ideal candidate for this position should have a good understanding of streaming technologies like Kafka and Spark Streaming, proficiency in programming languages such as Java, Scala, or Python, experience with Enterprise Business Intelligence Platform/Data platform, strong SQL and higher-level programming skills, knowledge of data mining and machine learning algorithms, and familiarity with data integration tools like ETL/ELT tools including Apache NiFi, Azure Data Factory, Pentaho, and Talend. Additionally, they should possess the ability to work in a fast-paced, deadline-driven environment, collaborate effectively with cross-functional teams, and articulate solution requirements for different groups within the organization. It is essential for all employees working at or on behalf of Mastercard to adhere to the organization's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. The Lead, Software Engineer role at Mastercard offers an exciting opportunity to contribute to the development of innovative data-driven solutions that drive business growth and enhance customer value proposition.,

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Lead, Software Engineer