Position: Software Engineer II

Location: Pune, Maharashtra, India

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Job Description

Qualification and Skills

• Experience/expertise in Big data Platform including On-prem as well as Cloud – spark streaming, Time-series database exposure (Prometheus/InfluxDB/TimeScaleDB etc), NiFi/Kafka.
• Experience/expertise on Scripting languages like Unix, Python and OOPs programming languages
• Experience in performance tuning of data processing in Hadoop, esp. with huge datasets (in TBs).
• Understanding of Exadata/Oracle/SQL server databases.
• Understands and implements Application Programming Interface (API) standards and cataloging to drive API/service adoption and commercialization
• Strong SQL programming skills.
• Reporting development in Data Warehouse environment is an added advantage.
• Understanding of Business Intelligence solutions for customers.
• Exposure and understanding of complete SDLC.
• Experience in AGILE methodology.
• Should be technically strong.
• Should have strong communication and coordination skills.

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Responsibilities

• 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.
  Develop high quality, secure and scalable scripts and data pipelines using shell script, Oracle procedures and tools like NiFi.
• Build automation and efficiency in Data ingestion, data movement, data access and data transfer workflows by innovation and collaboration.
• Understand, implement and enforce Software development standards and engineering principles in the RDBMS (Oracle,SQL server) and Big Data space.
• Understands the basic engineering principles used in building and running mission critical software capabilities (security, customer experience, testing, operability, simplification, service-oriented architecture)
• Leverage new technologies and approaches to innovate with increasingly large data sets.
• Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems.
• Perform assigned tasks and production incident independently.
• Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
• Prepare implementation plan and support during and after implementation.
• Work with the team as well as an individual contributor to drive efficient deliveries.

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