Python Backend Developer – ETL Experts

Winzons

India

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

BrandMyHR in Bengaluru (Electronic City) is seeking a Backend Developer - Python with 5–10 years of hands-on experience to design, build, and optimize scalable data pipelines for large-scale processing.

You will work on ETL workflows, data manipulation with Pandas, and cloud-enabled architectures, write clean code, participate in code reviews, and collaborate with cross‑functional teams across India and UK shifts when needed.

Qualifications

  • 5-10 years of Python development experience, hands-on.
  • Proficiency in Python programming and Pandas for data manipulation.
  • Experience with cloud platforms (AWS/Azure/GCP) and CI/CD pipelines.
  • Knowledge of SQL, data modeling, and ETL concepts.
  • Familiarity with Docker and Kubernetes for containerized environments.
  • Unit tests and code quality practices using pytest.

Responsibilities

  • 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)

Skills

Core Python
Pandas
SQL
Data modeling
ETL concepts
CI/CD
Docker
Kubernetes
PySpark
Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field

Tools

pytest
CI/CD tools

Job description

Company Name: BrandMyHR
Job Role: Backend Developer - Python
Experience Required: 5 to 10 Years
Location: Electronic City, Bangalore, India
Work Mode: Work From Office (WFO)
Qualification: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field
Industry: Information Technology / Data Engineering
Shift Requirement: Candidates should be flexible to work in India and UK shifts when required.

Role & Responsibilities :
  • 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
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
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