Python Developer

Job Title : Python Django Developer

Location : Gurgaon (On-site)

Work Mode : 6 Days a Week (Work from Office)

Experience Level : 3+ Years

About the Role :

We are seeking a highly skilled and motivated Python Django Developer to join our team in Gurgaon. This role requires a hands-on developer with expertise in building scalable web applications and APIs using Python and Django. The ideal candidate will have a strong background in relational databases, message brokers, and distributed systems.

Key Responsibilities :

• Design, develop, and maintain robust, scalable, and secure web applications using Python and Django.
• Build and optimize back-end services, RESTful APIs, and integrations with third-party tools.
• Implement and maintain asynchronous task processing using Celery and RabbitMQ.
• Work with PostgreSQL to design and optimize database schemas and queries.
• Utilize Redis and Kafka for caching, data streaming, and other distributed system needs.
• Debug and troubleshoot issues across the application stack.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Ensure code quality through comprehensive testing, code reviews, and adherence to best practices.

Required Skills and Qualifications:

Technical Expertise:

• Proficiency in Python and strong experience with Django framework.
• Hands-on experience with PostgreSQL for database design and management.
• Familiarity with RabbitMQ, Celery, and Redis for asynchronous processing and caching.
• Experience with Kafka for building real-time data pipelines and event-driven architectures.

Other Skills:

• Strong understanding of software development best practices and design patterns.
• Proficiency in writing efficient, reusable, and testable code.
• Good knowledge of Linux/Unix environments.
• Familiarity with Docker and containerized deployments is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to work independently and in a collaborative team environment.

Preferred Qualifications:

• Experience in microservices architecture.
• Exposure to DevOps tools and practices.
• Knowledge of front-end technologies like React or Angular is a bonus.

• Software Engineering
  • Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
  • Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
  • Research new technologies and tools that enable building the next generation of our services
  • Provide technology leadership to the team and foster engineering excellence
• Product Delivery
  • Partner with product managers to define and execute on the feature roadmap
  • Translate business requirements into scalable and extensible design
  • Coordinate with various cross functional teams on planning and execution
  • Maintaining automated build / test / deployment environments

• Software Engineering
  • Should have at least 3 years of hands-on experience in designing, developing, testing and deploying applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications
  • Deep knowledge of one of the programming languages they have experience in
  • Proficient in OOP and Design Patterns, experience with functional programming would be a plus
  • Data modelling experience in Relational Databases
  • Ability to design and implement low latency RESTful services
• Product Delivery
  • Ability to scope, review and refine user stories for technical completeness and to alleviate dependency
  • Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
  • Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
• Product Maintenance

• Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks
• Continuously refactor applications to ensure high quality design

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.

Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software

Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind

B.E/B.Tech/MCA/MCS/BCS

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Senior / Python Developer

We are looking for a Senior / Python Developers to join our engineering team and help us develop and maintain various software products. Your responsibilities include understanding the product very well, and lead the integration of this product into architecture.

To be successful in this role, you should have strong technical knowledge and solid experience of all steps of the software engineering process and the tools associated with those. You should be a go-getter, a clear communicator and a strong collaborator who works well in a team as well as the customer. You should want to do high quality work and produce output that you are proud of.  

• Good understanding of Python especially should have used file/directory access, data persistence, compression and archiving, cryptographic services, concurrent operations, networking and IPC, developmental tools etc.
• Good understanding of key differences in Python 2 vs 3
• Knowledge of lib2to3, six, python-future libraries. Compatibility idioms provided by these libs and their limitations, issues in using them as is.
• Knowledge of Python3 changes in data types especially str, bytes in Py3 vs str, unicode in Py2. Should be able to gauge, understand impact of this on data in transit/data at rest in a large project.
• Knowledge of using C extensions in Python code, modifying to run with Python3, Python 2-3 compatibility.
• Experience working with large python codebase.
• Working knowledge of mysql, Python ORM like sqlobject.
• Working knowledge of Common third party modules like cherrypy, falcon, gunicorn, etc.
• Good experience with basic python, no django/flask needed 
• Some code needs to run in Python 2, some in Python 3 and some in compatibility mode
• Issues for Druva are in ORM, marshalling, networking
• Need candidates having Understanding of basic data types, extensions of python 
• Data type conversion and networking is important 
• Internals of Python are important