Python Developer

We are seeking enthusiastic and driven interns with strong technical expertise to join our team in Bangalore. The ideal candidate should possess:

• Proficiency in Python programming.
• Hands-on experience with Automation Anywhere, UiPath, and A360.
• A solid engineering background.
• Ability to join immediately and work collaboratively on challenging projects.

This is an excellent opportunity to gain practical experience and grow your skills in automation and programming.

• 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

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

Django Python framework

PostgreSQL database

• Coordinating with development teams to find out the needs of the application.
• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

We're looking for someone to join a team dedicated to building performant APIs and backend services that deal with large volumes of data for the company's flagship, global consumer product. Small, high-impact teams require conscious planning and decision-making when it comes to design, architecture, and product features. So, it's essential that you enjoy working in such an environment.

We're a team that cares about simplicity and being able to build reliable, deterministic systems and platforms. Hence, our choice of tooling is usually battle-tested reliable software with a robust test suite.

How we work

1. You won't deal with the hustle culture. We're focused on building well-thought-out, stable and reliable software and we try our best to ensure everyone understands the big picture and the immediate goals.
2. We work a solid 6-8 hour days and don't slave away 24/7.
3. We're a remote engineering team. This makes effective communication extremely important. Our teams have benefitted greatly from good written communication. This includes everything from the product specification to the API spec. We spend a lot of time writing READMEs. As a result our engineers work with greater clarity and planning.
4. We deploy several times a day and rely on a good test suite to ensure we're not making life hard for our colleagues.
5. We don't expect anyone to know everything, but we are curious and learn along the way.
6. We learn about the fitness space and what it means to really be fit and not just Instagram fit.

The Python Backend Engineer position may be a good fit for you if:

1. You have 3 (or more) years of experience building and maintaining cloud applications.
2. You have built APIs with Python, Flask, Django or FastAPI before.
3. You have experience working with relational databases like PostgresSQL or MySQL and have spent time writing SQL queries for large datasets.
4. Experience in writing Unit tests with pytest.
5. You have worked with Docker, docker-compose.
6. Familiarity with the AWS ECS stack.

We want you to care about

1. Good object oriented design
2. Performant APIs
3. Analysing why queries are slow and how to go about improving them.
4. Understanding DNS, Load balancing, Caching and Hashing.
5. Customer data and privacy.

Our API Stack services use:

1. Python 3.8+, Typescript
2. FastAPI, Flask, HapiJs
3. PostgresSQL, MySQL
4. Redis
5. Celery
6. Pytest, Jest for unit testing.
7. Gitlab CI/CD
8. Amazon ECS container services