A software services company in Bengaluru is seeking an experienced software developer with expertise in Java and Python, along with strong knowledge of AWS cloud infrastructure and Oracle databases. The role involves developing applications, designing workflows, and deploying cloud-native solutions. Ideal candidates should have 6 to 10 years of relevant experience and a strong grasp of OOP principles and microservices architecture.
Qualifications
6 to 10 years of experience in software industry.
Proficiency in Java and Python for backend development.
Expertise in Oracle databases and SQL/PL/SQL.
Responsibilities
Develop and optimize applications using Java and Python.
Design data workflows using Oracle databases.
Deploy cloud-native applications on AWS.
Skills
Java
Python
AWS
SQL
PL/SQL
Spring Boot
Databricks
Job description
Responsibilities
Develop and optimize applications using Java and Python, leveraging best practices for scalability.
Design and maintain data workflows using Oracle databases with strong SQL and PL/SQL expertise.
Work on Databricks for big data integration, transformation, and advanced analytics.
Deploy and manage cloud-native applications on AWS cloud infrastructure.
Collaborate with business analysts and stakeholders to define requirements and deliver data-driven solutions.
Support data migration and modernization of backend systems.
Participate in peer code reviews and contribute to technical documentation.
Mandatory Skills
6 to 10 years of professional and relevant experience in software industry.
Proficiency in Java for backend development and enterprise solutions.
Strong hands-on experience in Java with OOPs principles, multithreading, and exception handling.
Expertise in Spring Boot for building microservices and APIs.
Knowledge of working with AWS cloud.
Strong experience in Python for scripting, automation, and data-driven applications.
Expertise in Oracle databases, including SQL, PL/SQL, performance tuning, and stored procedures.
Knowledge on Databricks.
Preferred Skills
Experience in data migration projects and legacy system modernization.
Familiarity with ETL scripting and data pipeline automation.
Exposure to backend modernization strategies and microservices architecture.
Knowledge of big data ecosystems and distributed computing.