Job highlights

- Working knowledge on some of the AWS services like S3,lambda,step functions,glue,batch Proficiency in SQL and experience with database design
- Knowledge on building Observability and Monitoring dashboards on AWS using CloudWatch . Run AWS Batch containers using Fargate / ECS . AWS Postgres RDS,AWS Dynamodb & Oracle db . Messaging systems such as Kafka

Java 11+, Spring, Spring Boot Proficiency in SQL and experience with database design

Knowledge of programming languages such as Python or Scala

Working knowledge on some of the AWS services like S3, lambda, step functions, glue, batch Proficiency in SQL and experience with database design

Knowledge of programming languages such as Python or Scala

Experience with PySpark and Scala is a plus

Understanding of data warehousing concepts and ETL processes

Unit Testing eg JUnit, Groovy

Microservices architecture Object-Oriented Programming principles





Comfortable working with docker containers and container orchestrators such as Kubernetes and AWS EKS

Writing clean, effective, well-tested code

Test-driven development is a bonus

Developing and using Web services and RESTful APIs

Good problem-solving abilities and ability to quickly learn a new technology and start working on that technology

Basic knowledge of AWS Networking

Familiarity with code repositories & source code control systems such as bitbucket, GIT

Requirements

Knowledge on building Observability and Monitoring dashboards on AWS using CloudWatch

Run AWS Batch containers using Fargate/ECS

AWS Postgres RDS, AWS Dynamodb & Oracle db

Messaging systems such as Kafka

API gateway platforms

Splunk, ELK, Dynatrace

📌 Java Backend Developer (Hubballi)
🏢 Logic planet
📍 Hubballi