Python + AWS Developer

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon (Work from Office)

Job Summary :

We are looking for an experienced Python Django Developer with strong expertise in building scalable web applications and distributed systems. The ideal candidate must have hands-on experience with Django, Redis, Celery, RabbitMQ, PostgreSQL, and Kafka to design and optimize high-performance applications.

Mandatory Skills :

Python, Django, Redis, Celery, RabbitMQ, PostgreSQL, Kafka

Key Responsibilities :

• Design, develop, and maintain web applications using Python & Django.
• Implement asynchronous tasks and background job processing using Celery with RabbitMQ/Redis.
• Work with PostgreSQL for database design, optimization, and complex queries.
• Integrate and optimize messaging/streaming systems using Kafka.
• Write clean, scalable, and efficient code following best practices.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams (frontend, DevOps, QA) for end-to-end delivery.
• Stay updated with the latest backend development trends and technologies.

Requirements :

• Minimum 3+ years of experience in backend development using Python & Django.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, and PostgreSQL.
• Strong understanding of REST APIs, microservices architecture, and asynchronous task management.
• Knowledge of performance tuning, caching strategies, and scalable system design.
• Familiarity with Git, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure) is a plus.
• Excellent problem-solving and communication skills.

Roles & Responsibilities

• Data Engineering Excellence: Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion.
• Cloud Data Migration Leadership: Lead cloud migration projects, developing scalable Spark pipelines.
• Medallion Architecture: Implement Bronze, Silver, and gold tables for scalable data systems.
• Spark Code Optimization: Optimize Spark code to ensure efficient cloud migration.
• Data Modeling: Develop and maintain data models with strong governance practices.
• Data Cataloging & Quality: Implement cataloging strategies with Unity Catalog to maintain high-quality data.
• Delta Live Table Leadership: Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
• Customer Collaboration: Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.

Educational Qualifications

• Experience: Minimum 5 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education: Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills
• Must-have: Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.

Good to Have

• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.
• Certifications
• AWS/GCP/Azure Data Engineer Certification.

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Roles & Responsibilities:

• Write well-designed, testable, efficient, and high-quality code.
• Design (LLD & HLD) and architect technical solutions for the business problems of a large-scale system.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies.
• Contribute to all phases of the development lifecycle.
• Lead the backend engineering team with examples.

Requirements:

• 5+ years’ experience under your belt developing performance-critical applications that run in a production environment using Node.Js
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in common Cloud technologies, AWS/GCP Knowledge of CI/CD tools and workflows.
• Knowledge in one or more of the following: NoSQL (especially, but not only Redis), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ)
• Good stakeholder management skills, with an ability to build trust and rapport with internal and external stakeholders
• It is good to have knowledge of Kubernetes and Docker and related deployment technologies.

• Lead a full product development lifecycle from ideation, design, development, to roll out and support
• Own the delivery of multiple features of the product end to end while hands-on in development as well
• Advocate best development practices such as continuous integration/continuous delivery, automation (testing and infrastructure)

1. 7+ Years’ of experience, managing teams of 5+ people
2. Must have excellent programming, debugging and scripting skills with a solid understanding of Object Oriented Design principles.
3. Proficiency in at least two of the following: Java, NodeJS, Go, JavaScript, Python programming stacks, and passion for software engineering and craftsman-like coding prowess
4. Knowledge of software practices like refactoring, clean code, domain driven design, Encapsulation etc
5. Hands on experience managing databases like MongoDB, Cassandra, Redis.
6. Exposure to event driven systems and event streaming engines like Kafka
7. Good knowledge of DevOps tooling like docker, kubernetes, ansible/chef, AWS.