Improzo Inc.
About Improzo
Improzo (Improve + Zoe; meaning Life in Greek) is focused on delivering quality-led commercial analytical solutions to clients in Life Sciences. Our dedicated team of experts in commercial data, technology, and operations collaborates to shape the future. You will work with leading Life Sciences clients alongside seasoned leaders and peers. We CARE values guide our work: Customer-Centric, Adaptive, Respect, and Execution. About the Role
We are seeking a highly skilled
Full Stack Developer
with 45 years of experience who is comfortable building modern
frontend applications
and robust
backend services . The role requires strong expertise in
Python backend development
along with hands-on experience in
distributed data processing
(PySpark/Databricks) and
cloud data platforms
(Snowflake/Databricks). The candidate should be able to design and deliver end-to-end applications that integrate
frontend, backend
and
data workflows
seamlessly. Familiarity with
AWS or Azure
cloud environments is a strong plus. Key Responsibilities
Develop and maintain
scalable backend services and APIs
using Python (FastAPI/Django/Flask). Build
responsive, user-friendly frontends
using modern JavaScript frameworks (React, Angular). Work with
distributed data processing frameworks
such as
PySpark
and Databricks for data transformation and analytics. Design and optimize
data pipelines
and integrations with cloud data platforms (Snowflake). Implement and maintain
database solutions
with both RDBMS (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB/Redis). Ensure
performance, security, and scalability
of applications across the stack. Collaborate closely with product managers, data engineers, and frontend/backend teams to deliver complete solutions. Contribute to
DevOps workflows : CI/CD pipelines, Docker/Kubernetes, cloud deployments (AWS/Azure/GCP). Write clean, maintainable, and testable code with
unit and integration tests . Qualifications
45 years of professional experience
as a Full Stack or Backend Developer. Strong programming skills in
Python
(FastAPI, Django, Flask). Proficiency in
frontend technologies : JavaScript/TypeScript React, Angular, or Vue.js CSS frameworks (Tailwind, Bootstrap, Material UI) Experience with
distributed data processing
using
PySpark/Databricks . Hands-on experience with
Snowflake/Databricks
or other modern cloud data warehouses. Strong database skills: RDBMS (PostgreSQL, MySQL) NoSQL (MongoDB, DynamoDB, Cassandra, Redis) Experience with
REST/GraphQL APIs ,
microservices , and
API security
(JWT, OAuth2). Knowledge of
CI/CD pipelines , Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). Strong SQL skills, with experience optimizing queries on large datasets. Good to Have (Preferred Skills)
Exposure to
real-time streaming platforms
(Kafka, Kinesis). Knowledge of
data modeling, ETL/ELT pipelines, and data governance . Familiarity with
infrastructure as code
(Terraform, CloudFormation). Experience integrating with
machine learning pipelines . Benefits
Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth.
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Improzo (Improve + Zoe; meaning Life in Greek) is focused on delivering quality-led commercial analytical solutions to clients in Life Sciences. Our dedicated team of experts in commercial data, technology, and operations collaborates to shape the future. You will work with leading Life Sciences clients alongside seasoned leaders and peers. We CARE values guide our work: Customer-Centric, Adaptive, Respect, and Execution. About the Role
We are seeking a highly skilled
Full Stack Developer
with 45 years of experience who is comfortable building modern
frontend applications
and robust
backend services . The role requires strong expertise in
Python backend development
along with hands-on experience in
distributed data processing
(PySpark/Databricks) and
cloud data platforms
(Snowflake/Databricks). The candidate should be able to design and deliver end-to-end applications that integrate
frontend, backend
and
data workflows
seamlessly. Familiarity with
AWS or Azure
cloud environments is a strong plus. Key Responsibilities
Develop and maintain
scalable backend services and APIs
using Python (FastAPI/Django/Flask). Build
responsive, user-friendly frontends
using modern JavaScript frameworks (React, Angular). Work with
distributed data processing frameworks
such as
PySpark
and Databricks for data transformation and analytics. Design and optimize
data pipelines
and integrations with cloud data platforms (Snowflake). Implement and maintain
database solutions
with both RDBMS (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB/Redis). Ensure
performance, security, and scalability
of applications across the stack. Collaborate closely with product managers, data engineers, and frontend/backend teams to deliver complete solutions. Contribute to
DevOps workflows : CI/CD pipelines, Docker/Kubernetes, cloud deployments (AWS/Azure/GCP). Write clean, maintainable, and testable code with
unit and integration tests . Qualifications
45 years of professional experience
as a Full Stack or Backend Developer. Strong programming skills in
Python
(FastAPI, Django, Flask). Proficiency in
frontend technologies : JavaScript/TypeScript React, Angular, or Vue.js CSS frameworks (Tailwind, Bootstrap, Material UI) Experience with
distributed data processing
using
PySpark/Databricks . Hands-on experience with
Snowflake/Databricks
or other modern cloud data warehouses. Strong database skills: RDBMS (PostgreSQL, MySQL) NoSQL (MongoDB, DynamoDB, Cassandra, Redis) Experience with
REST/GraphQL APIs ,
microservices , and
API security
(JWT, OAuth2). Knowledge of
CI/CD pipelines , Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). Strong SQL skills, with experience optimizing queries on large datasets. Good to Have (Preferred Skills)
Exposure to
real-time streaming platforms
(Kafka, Kinesis). Knowledge of
data modeling, ETL/ELT pipelines, and data governance . Familiarity with
infrastructure as code
(Terraform, CloudFormation). Experience integrating with
machine learning pipelines . Benefits
Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth.
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