CloudThat

Python Developer -2

Mumbai, India · Noida, India

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

Keywords matched to this posting
Fit score before you apply
Cover letter included

Matched against 2.5M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family: Engineering
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Summary:

We are looking for a Python Developer with strong data engineering and data handling skills. The ideal candidate will work on building scalable data pipelines, automating workflows, integrating datasets, and supporting analytics and ML teams with clean, reliable data solutions.

Key Responsibilities:

Develop, optimize, and maintain data pipelines using Python.
Work with large datasets and ensure efficient extraction, transformation, and loading (ETL).
Integrate data from various internal and external sources.
Build reusable Python modules and automation scripts.
Work closely with data engineers, analysts, and stakeholders to understand requirements.
Optimize performance of data processes and troubleshoot issues.
Ensure data quality, validation, and integrity across systems.
Deploy and monitor data workflows in production environments.

Technical Skills Required:

Strong hands-on experience in Python (Pandas, NumPy, PySpark preferred).
Experience with ETL development and building data pipelines.
Good understanding of SQL , complex queries, and stored procedures.
Experience with databases (PostgreSQL, MySQL, MongoDB, or similar).
Exposure to big data frameworks (Spark/Hadoop) is a strong advantage.
Experience with cloud platforms (AWS/Azure/GCP) for data services.
Familiarity with API integrations , automation, and scheduling tools (Airflow, Cron).
Knowledge of version control (Git) and CI/CD practices.

Preferred Qualifications:

Advanced experience with Python libraries used in data workflows (Pandas, NumPy, PySpark, FastAPI/Flask for data services).
Hands-on experience with data warehousing concepts and building scalable data models.
Practical understanding of ML model pipelines and supporting data science teams with clean, production-ready datasets.
Experience working with workflow orchestration tools (Airflow, Prefect, Luigi).
Familiarity with containerization and deployment (Docker/Kubernetes) for data applications.
Strong understanding of cloud-based data services (AWS Glue, Redshift, Azure Data Factory, BigQuery).
Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Original posting on CloudThat's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job