You will work on :

We help many of our clients make sense of their large investments in data - be it building analytics solutions or machine learning applications. You will work on cutting-edge cloud-native technologies to crunch terabytes of data into meaningful insights.

What you will do (Responsibilities) :

- Collaborate with Data Scientists, Engineers, and Product Management to transform raw data too often into actionable and meaningful insights for the enterprise

- Work in a small dynamic, product-oriented environment to deliver enterprise-class products.

- Design, implement and maintain Java-based applications that can be high-volume and low-latency

- Ensure the best possible performance, quality, and responsiveness of the applications

- Write well-designed, testable code

- Design and Implement REST API.

- Continuously improve software development practices work across the full stack.

- In many cases work on designing and developing data pipelines using Apache Spark or Google Data Pipelines.

Requirements :

What you bring (Skills) :

- Experience working with product-based companies.

- 5-8+ Years Experience in building modern cloud-native microservices-based applications in Java, Groovy, Spring Boot, and SQL or NoSQL Databases.

- Experience working on Spring, Spring Boot, and Spring Security frameworks.

- Experience in Java-based distributed & scalable application development.

- Hands-on with distributed eventing architectures using Kafka, Google cloud platform (GCP), BigQuery, or other NoSQL databases.

- Ability to produce easily consumable RESTful APIs with strong living documentation and specification-by-example tests.

Great if you know (Skills) :

- T-shaped skills are always preferred - so if you have the passion to work across the full stack spectrum - it is more than welcome.

- Exposure to infrastructure-based skills like Docker, Istio, and Kubernetes is a plus

- Exposure to Apache Spark, Kafka, Flink, or data pipelines.

- Ability to work out the right strategies of deployment for BigData systems.

- Collaborate with DevOps and Test Automation teams to build favorable developer experience in both build and CI/CD.