
Software Development Engineer II
- Pune, Maharashtra
- Permanent
- Full-time
- Participant medium-to-large size data engineering projects
- 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
- Assist 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.
- 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 of working with Databases like Oracle, Netezza and have strong SQL knowledge
- Additional experience of building data pipelines through Spark with Scala/Python/Java on Hadoop is preferred
- Experience of working on Nifi will be an added advantage
- Experience of working in Agile teams
- Strong analytical skills required for 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