Python Developer

Albiorix Technology Pvt. Ltd.; Ahmedabad District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Albiorix Technology Pvt. Ltd. invites a capable Python backend developer to join our team in delivering scalable data solutions and AI-powered applications.

You will design data pipelines on AWS, integrate AI libraries, and collaborate with cross-functional teams to meet client requirements. The role requires 2-3 years of Python experience, expertise with FastAPI/Django/Flask, and strong SQL/NoSQL knowledge.

Qualifications

• Bachelors in CS/engineering or related field.
• 2-3 years of experience as a Python developer (backend).
• Ability to communicate with international clients independently.
• Experience with Python backend frameworks and databases; AWS deployment and data engineering knowledge.
• Familiarity with AI/ML libraries and server-side templating languages.

Responsibilities

• Collaborate with development teams to determine application requirements.
• Write scalable Python code and develop backend components.
• Design and build scalable data pipelines and ETL on AWS.
• Monitor pipelines, troubleshoot bottlenecks, and ensure timely fixes.
• Test and debug applications; integrate data storage solutions.
• Coordinate with frontend developers and rework databases to improve functionality.
• Develop tools to monitor online traffic and support production deployments.

Skills

Excellent communication with clients

Collaborative teamwork

Education

Bachelor’s degree in computer science, computer engineering, or related field

Tools

FastAPI

Django

Flask

SQL/NoSQL databases

AWS (S3, RDS, DynamoDB, Elasticsearch/OpenSearch, EC2, ECS)

Jinja2

Mako

Testing tools

Data pipelines & ETL on AWS

GenAI & LLM concepts

Vector databases & embeddings

Pandas/NumPy

Job description

Job Description:

Requirements

• Bachelor’s degree in computer science, computer engineering, or related field.
• 2-3 years of experience as a Python developer.
• Can communicate with International clients independently.
• In-depth knowledge of at least one Python backend framework, such as FastAPI, Django, or Flask.
• Strong knowledge of SQL and NoSQL databases, including database design, querying, optimization, and data modeling.
• Expertise in AWS services, including Amazon S3, RDS, DynamoDB, Elasticsearch/OpenSearch, EC2, ECS, and other AWS services relevant to application deployment and data engineering.
• Understanding of AI/ML libraries and frameworks and their integration into production Python applications.
• Familiarity with server-side templating languages, including Jinja2 and Mako.
• Familiarity with various testing tools.
• Ability to collaborate on projects and work independently when required.

Good To Have Skills

• Developing and managing data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, Step Functions, and related data-processing technologies.
• Understanding of GenAI concepts and technologies, including Large Language Models (LLMs), Generative AI applications, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Knowledge of vector databases/vector search, embeddings, and semantic search for building GenAI-powered applications.
• Knowledge of Pandas, NumPy, and data-processing libraries for data manipulation, analysis, and transformation.

Roles and Responsibilities

• Coordinating with development teams to determine application requirements.
• Writing scalable code using Python programming language.
• Design and develop scalable data pipelines and ETL processes on AWS using Python-based technologies (e.g., AWS Glue, AWS Lambda, AWS Step Functions, and AWS Step Machines).
• Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise on time.
• Testing and debugging applications.
• Developing back-end components.
• Integrating user-facing elements using server-side logic.
• Assessing and prioritising client feature requests.
• Integrating data storage solutions.
• Coordinating with front-end developers.
• Reprogramming existing databases to improve functionality.
• Developing digital tools to monitor online traffic.