Python Developer

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu
• Strong practical knowledge of Python and its libraries.
• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
• Good knowledge of CI/CD and DevOps practices
• Good Experience of Python with Django/ Scrapy/ Flask frameworks.
• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.
• Strong analytical thinking and problem-solving skills.
• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
• Preferred if had an OpenEdx platform experience or any LMS platform. 

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 Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

Strong Software Engineering Profile

Mandatory (Experience 1): Must have 7+ years of experience using Python to design software solutions.

Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.

Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka

Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure

Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.

Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)

Preferred

Preferred (Skills 1): Experience in Task Queues like Celery and RabbitMQ is preferred.

Preferred (Skills 2): Experience with RDBMS/SQL is also preferrable.

Preferred (Education): Computer science

Job Title: Python Developer (Django / Databricks / Azure)

📍 Location: Bangalore

🕒 Experience: 3–8 Year

💼 Employment Type: FTE

🔹 Job Summary:

We are seeking a skilled Python Developer with strong experience in Django, Flask API development, Databricks, and Azure Cloud. The ideal candidate will be responsible for designing scalable backend systems, developing REST APIs, building data pipelines, and working with cloud-based data platforms.

🔹 Key Responsibilities:

✔ Develop and maintain web applications using Django framework

✔ Design and build RESTful APIs using Flask

✔ Develop and optimize data pipelines using Azure Databricks

✔ Integrate applications with Azure services (Blob, Data Factory, SQL, etc.)

✔ Write clean, scalable, and efficient Python code

✔ Collaborate with frontend, DevOps, and data engineering teams

✔ Perform code reviews and ensure best practices

✔ Troubleshoot, debug, and upgrade existing systems

🔹 Required Skills:

• Strong proficiency in Python programming
• Hands-on experience with Django framework
• Experience building Flask-based REST APIs
• Experience working with Azure Databricks
• Knowledge of Azure Cloud services
• Experience with SQL / NoSQL databases
• Understanding of CI/CD and Git workflows

🔹 Good to Have:

• Experience with PySpark
• Knowledge of microservices architecture
• Docker / Kubernetes exposure
• Experience in data engineering projects

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
• 
  

Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

Must Have:

• Thorough experience (Sr. Developer: 3+ years) in core python as well as the Django framework.
• Deep understanding of designing and implementing REST web services/APIs.
• Ability to address authentication and security constraints efficiently.
• Knowledge about Amazon web services and ability to integrate it.
• Ability to write complex python utility scripts.
• Ability to deliver design documentations whenever needed.
• Knowledge of Version Control using SVN/GIT.
• Ability to analyse, debug and resolve basic to complex problems on-demand (independently).

Nice To Have:

• Knowledge with microservice architecture is a BIG plus.
• Knowledge of the docker platform to serve the applications in docker containers and being able to use docker compose will be a plus.
• Leadership and Time Management skills.

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.