Design, develop, and maintain scalable enterprise applications using
Java, Spring Boot, and Python
.
Build and manage
data pipelines
and work on
Databricks
for analytics and transformation tasks.
Develop, optimize, and maintain solutions using
Oracle databases
with strong SQL and PL/SQL.
Deploy and manage applications on
AWS cloud
, ensuring high availability and performance.
Contribute to
API Gateway setup
and integration of microservices.
Collaborate with business analysts, QA, and stakeholders to deliver high-quality solutions.
Participate in system integration, testing, and performance optimization.
Mandatory Skills:
4 to 8 years of professional and relevant experience in software industry.
Strong hands-on expertise in
Java
and
Spring Boot
for enterprise-grade applications.
Proficiency in
Python
for backend development, scripting, and automation.
Experience with
Oracle databases
(SQL, PL/SQL, query optimization).
Practical knowledge of
AWS cloud services
.
Strong experience in
Python
for scripting, automation, and data-driven applications.
Knowledge on
Databricks
.
Preferred Skills:
Experience in
data pipeline design and implementation
.
Knowledge of
API Gateway setup and security practices
.
Exposure to
capital markets domain
and related business processes.
Familiarity with CI/CD tools and cloud-native deployment practices.
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.
Job Responsibilities
Design, develop, and maintain scalable enterprise applications using
Java, Spring Boot, and Python
.
Build and manage
data pipelines
and work on
Databricks
for analytics and transformation tasks.
Develop, optimize, and maintain solutions using
Oracle databases
with strong SQL and PL/SQL.
Deploy and manage applications on
AWS cloud
, ensuring high availability and performance.
Contribute to
API Gateway setup
and integration of microservices.
Collaborate with business analysts, QA, and stakeholders to deliver high-quality solutions.
Participate in system integration, testing, and performance optimization.
Mandatory Skills:
4 to 8 years of professional and relevant experience in software industry.
Strong hands-on expertise in
Java
and
Spring Boot
for enterprise-grade applications.
Proficiency in
Python
for backend development, scripting, and automation.
Experience with
Oracle databases
(SQL, PL/SQL, query optimization).
Practical knowledge of
AWS cloud services
.
Strong experience in
Python
for scripting, automation, and data-driven applications.
Knowledge on
Databricks
.
Preferred Skills:
Experience in
data pipeline design and implementation
.
Knowledge of
API Gateway setup and security practices
.
Exposure to
capital markets domain
and related business processes.
Familiarity with CI/CD tools and cloud-native deployment practices.
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.
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