Software Engineer - Pyhton

Overview

About Decimal​

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Decimal Technologies (www.decimaltech.com) is a leading fintech in India with all major banks as its

customers for its platform and digital solutions. Decimal also has a lending marketplace supercharging

digitization of offline channel and enhancing credit access in India.

The Designing and Analytics Business Unit is transforming the lending ecosystem by revolutionizing

traditional practices through our cutting-edge, full-stack tech solutions. Our innovations include:

a. Neo-Banking-led loan discovery and origination platform, trusted by 80+ leading Banks and NBFCs.

b. iCAM, a groundbreaking automated credit underwriting solution that harnesses AI and ML to analyze

and underwrite unstructured SME data, redefining the credit decision-making process.

Vahana is a “Low Code Application Development (LCAP)” platform built and perfected by Decimal

Technologies over course of last 8 years. Solutions build on Vahana platform are used by most major banks and NBFC’s in India. Vahana is now ready to go for international expansion and be available for other

system integrator firms to use for fast tracking their application development and enjoy the

benefits.Vahana is proven for scale, security, agility, scalability, auditability for enterprise grade production ready applications. Some of the marquee solutions in Indian banking such as Kotak 811 and AU video

banking are built on top of Vahana platform.

Future of coding is “No Coding” and that is what Vahana brings to enterprise providing them opportunitiesto keep pace with Customer Experience expectations, managing with skill set challenges and digitize at

scale. This is done with payback periods of less than 3 months and at least 3X faster GTM. Come & join us

to build and scale the platform to have at least 100 Banks using it for their application development.

Designation: Software Engineer - Python

Key Responsibilities:

• Develop Python Applications: Write efficient and maintainable Python code, focusing on data analysis, manipulation, and image processing tasks using Pandas, NumPy, and OpenCV.
• Data Manipulation and Analysis: Leverage Pandas and NumPy to clean, analyze, and manipulate large datasets, extracting valuable insights and performing complex transformations.
• Image Processing: Use OpenCV to implement image recognition, image transformation, and processing workflows as part of larger applications.
• Collaborate with Teams: Work with data scientists, back-end engineers, and front-end developers to design and deliver end-to-end solutions that meet business requirements.
• Optimize Performance: Ensure your code is optimized for performance, scalability, and resource efficiency, particularly when handling large datasets and image-heavy processes.
• Testing and Debugging: Write and maintain automated tests to ensure the quality and reliability of your code, using tools like pytest or unittest.
• Documentation: Provide clear documentation for the code, libraries, and methodologies used in data manipulation, image processing, and application design.
• Deploy and Maintain: Deploy Python applications to production environments and provide ongoing maintenance, ensuring that they are stable and bug-free.

Required Skills:

• Proficiency in Python: Strong experience with Python, including familiarity with libraries such as Pandas, NumPy, and OpenCV.
• Data Manipulation & Analysis: Expertise in using Pandas for data manipulation, analysis, and handling large datasets. Comfort with NumPy for numerical computing.
• Image Processing with OpenCV: Proficiency in OpenCV for image recognition, transformation, and processing tasks.
• Web Frameworks: Experience with web frameworks like Fast or Flask for developing scalable and maintainable web applications.
• Database Knowledge: Experience working with relational databases (MySQL, PostgreSQL) and/or NoSQL databases (MongoDB, Redis).
• Version Control: Familiarity with Git for version control and collaborative development.
• RESTful API Development: Experience in developing and integrating RESTful APIs.
• Testing: Experience in writing unit tests and using tools such as pytest to ensure code reliability.

Preferred Skills:

• Machine Learning: Exposure to machine learning libraries such as TensorFlow, scikit-learn, or PyTorch for integrating data analysis or image processing into machine learning workflows.
• Cloud Platforms: Experience deploying applications to cloud platforms like AWS, Google Cloud, or Azure.
• CI/CD Tools: Familiarity with continuous integration and deployment tools like Jenkins, Docker, and Kubernetes.
• Microservices Architecture: Experience building and maintaining microservices for scalable and flexible applications.

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹1,686,460.20 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Work Location: In person