Hybrid
Full-Time
Bengaluru, Karnataka
India
Skills
Microservices
Amazon Web Services (AWS)
Python (Programming Language)
DevOps
Continuous Integration and Continuous Delivery (CI/CD)
Extract, Transform, Load (ETL)
Data Integration
About the Role
Job Summary:
We are seeking a Senior Python Data Application Developer with strong expertise in core Python and data-focused libraries to join our team. The ideal candidate will have experience building serverless, microservices-based applications, with a strong background in AWS, DevOps, CI/CD, and software design principles. Candidates should have a strong analytical background and exceptional problem-solving abilities, coupled with a passion for innovation. This role is crucial for developing, optimizing, and deploying scalable data applications that support our company's growth and innovation.
Key Responsibilities:
1. Data Application Development: Design, develop, and maintain data-driven applications using core Python and essential data libraries (e.g., Pandas, NumPy). Ensure applications are optimized for performance and scalability.
2. Data Integration and Processing: Build robust data pipelines, ETL processes, and APIs for integrating various data sources and processing large datasets efficiently within the cloud environment.
3. AWS & Serverless Architecture: Build and deploy applications on AWS using serverless and
microservices architectures, utilizing services such as AWS Lambda, API Gateway, S3, DynamoDB, Kinesis, and other AWS tools as needed.
4. Collaborative Development: Work closely with cross-functional teams including frontend developers,
DevOps, QA, and product managers to deliver feature-rich applications that meet business requirements.
5. Software Design and Best Practices: Apply software design principles and best practices to ensure that
applications are maintainable, modular, and highly testable. Create detailed design documentation, code reviews, and unit/integration tests.
6. Monitoring and Optimization: Set up monitoring solutions to proactively monitor application
performance, detect anomalies, and resolve issues. Optimize data applications for cost, performance, and reliability on AWS.
Technical Qualifications:
● 5+ years of professional experience in data-focused application development using Python.
● Proficiency in core Python and data libraries (e.g., Pandas, NumPy, PySpark).
● Strong understanding of AWS services (ECS, Lambda, API Gateway, S3, DynamoDB. Kinesis, etc.).
● Experience with building highly distributed and scalable solutions via serverless, microservice and service oriented architecture.
● Good Understanding of Unit test frameworks, code quality tools and CICD
● Familiarity with database management and ORM concepts, including experience wit both relational (PostgreSQL, MySQL) and NoSQL (DynamoDB) databases.
● Ability to independently learn new skills, tools, development kits, frameworks, etc.
● Understanding of end to end software development lifecycle and Agile methodology.
● Strong problem-solving abilities, attention to detail, and critical thinking.
● Excellent communication skills for collaboration with technical and non-technical teams.
● Ability to mentor junior developers and contribute to a collaborative team environment.
● AWS Certified Developer or Solutions Architect is a plus.
We are seeking a Senior Python Data Application Developer with strong expertise in core Python and data-focused libraries to join our team. The ideal candidate will have experience building serverless, microservices-based applications, with a strong background in AWS, DevOps, CI/CD, and software design principles. Candidates should have a strong analytical background and exceptional problem-solving abilities, coupled with a passion for innovation. This role is crucial for developing, optimizing, and deploying scalable data applications that support our company's growth and innovation.
Key Responsibilities:
1. Data Application Development: Design, develop, and maintain data-driven applications using core Python and essential data libraries (e.g., Pandas, NumPy). Ensure applications are optimized for performance and scalability.
2. Data Integration and Processing: Build robust data pipelines, ETL processes, and APIs for integrating various data sources and processing large datasets efficiently within the cloud environment.
3. AWS & Serverless Architecture: Build and deploy applications on AWS using serverless and
microservices architectures, utilizing services such as AWS Lambda, API Gateway, S3, DynamoDB, Kinesis, and other AWS tools as needed.
4. Collaborative Development: Work closely with cross-functional teams including frontend developers,
DevOps, QA, and product managers to deliver feature-rich applications that meet business requirements.
5. Software Design and Best Practices: Apply software design principles and best practices to ensure that
applications are maintainable, modular, and highly testable. Create detailed design documentation, code reviews, and unit/integration tests.
6. Monitoring and Optimization: Set up monitoring solutions to proactively monitor application
performance, detect anomalies, and resolve issues. Optimize data applications for cost, performance, and reliability on AWS.
Technical Qualifications:
● 5+ years of professional experience in data-focused application development using Python.
● Proficiency in core Python and data libraries (e.g., Pandas, NumPy, PySpark).
● Strong understanding of AWS services (ECS, Lambda, API Gateway, S3, DynamoDB. Kinesis, etc.).
● Experience with building highly distributed and scalable solutions via serverless, microservice and service oriented architecture.
● Good Understanding of Unit test frameworks, code quality tools and CICD
● Familiarity with database management and ORM concepts, including experience wit both relational (PostgreSQL, MySQL) and NoSQL (DynamoDB) databases.
● Ability to independently learn new skills, tools, development kits, frameworks, etc.
● Understanding of end to end software development lifecycle and Agile methodology.
● Strong problem-solving abilities, attention to detail, and critical thinking.
● Excellent communication skills for collaboration with technical and non-technical teams.
● Ability to mentor junior developers and contribute to a collaborative team environment.
● AWS Certified Developer or Solutions Architect is a plus.