Job Description

Razorpay was founded by and in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we\'ve disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via ) and enabling capital availability for businesses (via ).The Role:We are looking for a savvy Senior Data Platform Engineer to join our growing team, responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The right candidate will be excited by the prospect of optimizing or even re-designing our company\'s data architecture to support our next generation of products and data initiatives.Roles and Responsibilities:

• Design, develop, and deploy scalable data processing solutions using Apache Spark / Flink.
• Writing highly scalable code leveraging best practices on concurrency and resource utilization.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Develop automated monitoring and alerting for pipelines, ensuring reliability and uptime.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Ensure data quality, reliability, and security across all data and machine learning initiatives.
• Stay current with emerging technologies and industry trends, advocating for best practices in data engineering and machine learning.
• Design and optimize data models to support analytics, reporting, and machine learning use cases.
• Work with data scientists to strive for greater functionality in our data systems.

Mandatory Qualifications:

• We are looking for a candidate with 4+ years of experience in Data Platform Engineering.
• Strong programming skills in Python, Scala, Golang with hands-on experience in SQL
• Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
• Experience with AWS Big data services like EMR, Glue, Redshift.
• Expertise in building scalable data pipelines using tools like Apache Airflow, Spark, or Kafka.
• Deep understanding of data modeling, distributed data systems, and performance tuning.
• Experience with infrastructure as code and containerization tools (Kubernetes, Docker).
• Proficiency in version control systems (Git) and CI/CD pipelines.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong understanding of REST APIs, Microservices, event-driven architectures and stream processing frameworks.
• Have contributed to an open-source project
• Have worked at a product company

Razorpay believes in and follows an equal employment opportunity policy that doesn\'t discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.Follow us on &

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