Python Developer

Role Title:- Mid-Level Python Developer

 Location - Bangalore

 Employment Type -Full-time (Work from Office)

Experience Required - 3 to 7 years

Notice Period Preference - Open to all candidates, but shorter notice period candidates will be preferred.

About the Role

We are looking for a strong Mid-Level Python Developer to join our backend engineering team in Bangalore. The role is focused on building, maintaining, and improving backend systems for fintech products in the Indian capital markets domain, specifically around PMS, AIF, portfolio operations, order management, reporting, and client-facing enterprise workflows.

The ideal candidate should have hands-on experience in building APIs, working with relational databases, writing clean and maintainable Python code, and solving practical backend engineering problems. This is a backend-first role. Frontend or Angular exposure is preferred but not mandatory.

The candidate should be capable of independently owning backend modules, collaborating with product and frontend teams, mentoring junior developers, and eventually growing into a team lead role.

Key Responsibilities

- Design, develop, and maintain backend APIs using Python and FastAPI.

- Build reliable, scalable, and maintainable backend services.

- Work extensively with PostgreSQL for database design, querying, optimization, and data integrity.

- Use Redis for caching, queues, session handling, or performance improvement where applicable.

- Write clean, modular, testable, and production-ready Python code.

- Develop REST APIs with proper request validation, error handling, authentication, and response structure.

- Understand business requirements and convert them into robust backend implementation.

- Debug production issues, identify root causes, and implement long-term fixes.

- Optimize database queries, backend logic, and API performance.

- Participate in code reviews and maintain engineering standards.

- Mentor junior developers and help improve their coding, debugging, and backend design skills.

- Work closely with frontend developers, QA, product/business teams, and management.

- Contribute to technical documentation, SOPs, and internal development practices.

- Build backend solutions for fintech workflows related to PMS, AIF, capital markets, reporting, order processing, and operational automation.

Required Technical Skills

Python Backend Development:-

- Strong hands-on experience with Core Python.

- Good understanding of Python data structures, functions, classes, modules, exception handling, and file handling.

- Ability to write clean, reusable, and maintainable backend code.

- Experience with practical backend service logic, data transformation, and debugging.

FastAPI / API Development:-

- Hands-on experience with FastAPI or similar Python web frameworks.

- Strong understanding of REST API design.

- Experience with request/response validation, status codes, error handling, middleware, and dependency injection.

- Basic understanding of authentication and authorization in APIs.

- Ability to design APIs that are practical, secure, and maintainable.

Database Skills:-

- Strong working knowledge of PostgreSQL.

- Ability to write SQL queries involving joins, aggregations, filters, subqueries, and transactions.

- Understanding of indexing, query performance, constraints, and relational database design.

- Ability to troubleshoot data issues and optimize database-heavy backend workflows.

 Redis / Caching:-

- Working knowledge of Redis.

- Understanding of caching use cases, TTL, key-value storage, and performance improvement patterns.

- Experience using Redis in backend applications will be preferred.

 Backend Engineering Fundamentals:-

- Understanding of application architecture, modular code structure, logging, configuration management, and environment variables.

- Good debugging and problem-solving ability.

- Understanding of production issues, edge cases, and maintainability.

- Basic understanding of background jobs, queues, async processing, or scheduled tasks will be preferred.

Version Control & Development Practices

- Experience with Git.

- Ability to work with branches, pull requests, code reviews, and structured development workflows.

- Familiarity with testing, basic unit tests, and API testing tools such as Postman.

Preferred Skills

- Experience in fintech, capital markets, PMS, AIF, wealth management, portfolio reporting, or order management systems.

- Exposure to Angular or frontend development.

- Experience with background task processing, Celery, Redis queues, or scheduled jobs.

- Experience with Docker or Linux-based deployment environments.

- Experience working on enterprise SaaS or client-facing business applications.

- Understanding of financial data workflows, reconciliations, transactions, holdings, reporting, or order lifecycle.

Domain Exposure Preferred

Candidates with experience or interest in the following areas will be preferred:

- Indian capital markets

- Portfolio Management Services — PMS

- Alternative Investment Funds — AIF

- Wealth management platforms

- Order management systems

- Financial reporting systems

- Investor/client reporting workflows

- Transaction, holding, and reconciliation workflows

Expected Candidate Profile

The ideal candidate should be:

- A strong backend developer with practical problem-solving ability.

- Comfortable working independently on backend modules.

- Able to understand business workflows and translate them into technical implementation.

- Detail-oriented, especially when working with financial data.

- Comfortable debugging production issues and improving system reliability.

- Capable of mentoring junior developers.

- Interested in growing into a future technical/team lead role.

- Comfortable working from an office in Bangalore.

Assessment Process

The hiring process will include:

1. Initial screening based on resume, experience, notice period, and compensation fit.

2. Google Form technical assessment of 50 marks.

3. Live coding / technical discussion round.

4. Final face-to-face discussion covering technical depth, domain fit, ownership, and team fit.

What We Are Evaluating

- Python fundamentals and coding clarity

- Backend API design ability

- SQL and PostgreSQL practical knowledge

- Debugging and problem-solving approach

- Understanding of Redis and caching basics

- Ability to think through edge cases

- Code maintainability and readability

- Production-readiness mindset

- Ability to work in fintech/capital markets workflows

- Potential to mentor juniors and grow into a lead role

 Summary

This role is suitable for a backend-focused Python developer who has strong hands-on coding ability, practical database knowledge, and the maturity to independently own backend modules. The candidate should be comfortable working in a fintech product environment where accuracy, reliability, and clean backend design are critical.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture ( 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

Job Description:

We are looking for a skilled Python Developer with 2+ years of hands-on experience in backend development and data processing. The ideal candidate should be proficient in Python and have working experience with web frameworks like Flask and FastAPI, along with exposure to data engineering and machine learning workflows.

Key Responsibilities:

Design, develop, and maintain scalable Python applications and APIs using Flask and FastAPI

Work with PySpark and Kafka for real-time data processing

Perform data manipulation and analysis using Pandas and NumPy

Develop and maintain modular, reusable, and testable code following OOP principles

Collaborate with data scientists to integrate ML models (TensorFlow, PyTorch, Scikit-learn) into production

Participate in code reviews, design discussions, and contribute to best practices

Write and maintain documentation for developed modules and workflows

Required Skills:

Strong proficiency in Python programming

Hands-on experience with Flask and/or FastAPI

Experience working with PySpark and Kafka

Solid understanding of Pandas, NumPy, and data handling in Python

Familiarity with TensorFlow, PyTorch, and scikit-learn

Good grasp of Object-Oriented Programming (OOP) concepts

Ability to write modular and maintainable code

Nice to Have:

Understanding of Machine Learning concepts and pipelines

Exposure to Generative AI (GenAI) technologies and tools

Experience with CI/CD tools, Docker, or cloud environments (AWS, GCP, etc.)

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Company Overview:

Euphoric Thought Technologies is a technology services firm specializing in digital transformation and data-driven solutions. We partner with global enterprises to modernize their infrastructure, streamline complex workflows, and leverage cloud-native architectures to drive operational efficiency. Our culture is built on technical excellence, collaborative problem-solving, and a commitment to delivering scalable software solutions that solve real-world business challenges across the finance, retail, and logistics sectors.

Role Overview:

As a Python Developer with Azure expertise, you will be responsible for designing, developing, and maintaining robust data pipelines and cloud-based applications. You will work closely with cross-functional engineering teams and data architects to translate business requirements into high-performance technical solutions. Your work will directly influence the scalability and reliability of our client’s cloud infrastructure, ensuring seamless data integration and optimized performance in a high-stakes production environment.

Key Responsibilities:

- Architect and implement scalable Python-based applications to automate data processing tasks and enhance system functionality.

- Design and deploy end-to-end data pipelines using Azure Data Factory to ensure efficient data movement and transformation for internal stakeholders.

- Optimize cloud infrastructure performance by monitoring resource utilization and implementing cost-effective configuration changes within the Azure ecosystem.

- Collaborate with engineering leads to troubleshoot complex technical issues, ensuring minimal downtime and high availability for critical business applications.

- Document technical specifications and system architectures to facilitate knowledge sharing and long-term maintainability of codebases.

Required Skillset:

- Demonstrated proficiency in developing production-grade applications using Python, with a strong grasp of data structures and algorithms.

- Hands-on experience in configuring and managing cloud services within the Azure environment, specifically focusing on cloud computing best practices.

- Proven ability to build and orchestrate complex data workflows using Azure Data Factory to support large-scale data integration projects.

- Strong analytical mindset with the ability to communicate technical concepts clearly to both technical and non-technical team members.

- Capability to work effectively in an on-site environment in Greater Noida, maintaining high productivity and collaboration within an agile team structure.

- A minimum of 3 to 5 years of 

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

Python Software Engineer (3–5 Years Experience)

Location: [Pune]

Role Overview

We are seeking skilled Python engineers to join our core product team. You will work on backend services, API development, and system integrations, contributing to a codebase of over 250,000 Python lines and collaborating with frontend, DevOps, and native code teams.

Key Responsibilities

·    Design, develop, and maintain scalable Python backend services and APIs

·    Optimize performance and reliability of large, distributed systems

·    Collaborate with frontend (JS/HTML/CSS) and native (C/C++/C#) teams

·    Write unit/integration tests and participate in code reviews

·    Troubleshoot production issues and implement robust solutions

Required Skills

·    3–5 years of professional Python development experience

·    Strong understanding of OOP, design patterns, and modular code structure

·    Experience with MongoDB (PyMongo), Mako, RESTful APIs, and asynchronous programming

·    Familiarity with code quality tools (flake8, pylint) and test frameworks (pytest, unittest)

·    Experience with Git and collaborative development workflows

·    Ability to read and refactor large, multi-module codebases

Nice to Have

·    Experience with web frameworks (web.py, Flask, Django)

·    Knowledge of C/C++ or C# for cross-platform integrations

·    Familiarity with CI/CD, Docker, and cloud deployment

·    Exposure to security, encryption, or enterprise SaaS products

What We Offer

·    Opportunity to work on a mission-critical, enterprise-scale product

·    Collaborative, growth-oriented engineering culture

·    Flexible work arrangements (remote/hybrid)

·    Competitive compensation and benefits