Python Developer

Roles and responsibilities

Develop well-designed performant and scalable applications and microservices

Writing reusable, testable, and efficient code aligning to software development best practices

Integrate data storage solutions including databases, key-value stores, blob stores, etc.

Build integrations with 3rd party applications through apis’ to ingest and process data

Develop state-of-the-art analytics tools to support diverse tasks ranging from ad hoc analysis to production-grade pipelines and workflows for customer applications

Ensure security and data protection aspects within the applications

Partner with Data Scientists and Analytics Engineers to improve the performance and reliability of advanced algorithms

Ensure high performance and availability of distributed systems and applications

Interact directly with client project team members and operational staff to support live customer deployments and production issues

Requirements

4+ years of experience in developing applications using python and related technologies.

Familiarity in data ingestion and processing libraries in python.

Thorough understanding of REST and GRPC technologies.

Experience in using ORM (Object Relational Mapper) libraries for data access.

Experiencing in developing and hosting APIs and integration with external applications.

Experience in building data models and repositories using relational and NoSql databases.

Knowledge of JIRA, Bitbucket and agile methodologies.

Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.

Understanding of fundamental design principles behind a scalable application

Familiarity with event-driven programming

Strong unit test and debugging skills

Affinity for learning and applying new technologies and solving new problems

Effective organizational skills with strong attention to detail

Experience in working with docker is a plus

Comfortable in working with Unix/Linux environment

Strong communication skills — both written and verbal