- Design, develop, and maintain scalable data pipelines using Python for large-scale data processing.

- Build and optimize ETL workflows to ingest, transform, and load data from multiple structured and unstructured sources.

- Develop data processing, automation, or ETL pipelines using Python.

- Perform data manipulation and analysis using Pandas and NumPy

- Write clean, efficient, reusable, and well documented code.

- Work with databases and data storage systems for efficient data handling.

- Participate in code reviews, sprint planning, and technical discussions.

- Candidate should be ready to work in India and UK shifts (if needed)

Requirements :

- 5- 10 Years of Python development experience-should have a hands-on experience.

- Very good proficiency in Python programming.

- Pandas : Experience with data manipulation and analysis using Pandas

- Understand the cloud technology, Continuous Integration, and Continuous Delivery and working knowledge of various tools in the CI/CD pipeline and DevOps practice

- Experience with cloud platforms (AWS / Azure / GCP) preferred Azure

- Experience with SQL

- Knowledge of data modeling, ETL concepts, and pipeline design

- Build and maintain data pipelines: ingesting, transforming, and serving large data sets (Pandas, NumPy).

- Write unit tests, integration tests (pytest) and ensure code quality, maintainability and performance

- Familiarity with Docker and Kubernetes

Must Have :

- Core Python

- Pandas

Good to Have :

- Pyspark

- ETL

Work Mode : WFO

Location : E-city Bangalore

Soft Skills :

- Good written & verbal communication

- Strong Analytical & problem-solving skills

- Being able to work independently and in a team

- Go-getter attitude when taking initiative and ownership