Python Developer

Job Description

We are looking for a Python Developer/ Senior Python Developer with strong expertise in data analysis, data validation, data extraction, and framework development. The role involves building robust data-processing solutions, writing monitoring scripts, proactively identifying and fixing data and system issues, and ensuring high data quality and reliability. Web scripting experience is optional and considered an advantage.

Key Responsibilities Data Analysis & Processin

• gDevelop and optimize data analysis pipelines for large dataset
• sPerform exploratory data analysis (EDA) and generate meaningful insight
• sImprove performance and reliability of existing data workflow

s
Data Validation & Quali

• tyDesign and implement data validation frameworks and rule engin
• esEnsure data accuracy, completeness, and consisten
• cyInvestigate data discrepancies and fix data quality issu

es
Data Extraction & Integrat

• ionBuild and maintain data extraction scripts from APIs, databases, files and third-party syst
• emsAutomate ingestion and transformation proces
• sesHandle structured, semi-structured, and unstructured da

ta.
Monitoring & Issue Resolu

• tionWrite monitoring scripts to track data pipelines, jobs, and process he
• althSet up alerts and logs for failures, delays, and data anoma
• liesAnalyze root causes and fix production issues in data workf
• lowsImprove system stability through proactive monitoring and preventive f

ixes
Framework & Archite

• ctureDesign and maintain reusable Python frameworks, libraries, and util
• itiesEnsure modular, maintainable, and scalable archite
• ctureConduct code reviews and enforce coding best pract

ices.
Collaboration & Ment

• orshipWork closely with data analysts, QA, and business
• teamsMentor junior developers and support technical problem-s
• olvingParticipate in technical design and solution discus

sions.
Required Technical Skills Core

• PythonStrong expertise in Pyt
• hon 3.xExperience in writing efficient, readable, and testabl

e code.
Data & L

• ibrariesStrong hands-on experience with Panda
• s, NumPyExperience with data validation tools (Pydantic, Marshmallow, Great Expectations, or custom fra
• meworks)Proficiency in log handling and error ma

nagement

• DatabasesStrong knowledge of SQL and relational
• databasesExperience working with large

datasets
Testing &

• DebuggingExperience with unit testing frameworks (pytest,
• unittest)Strong debugging, troubleshooting, and performance optimizati

on skills.
Optional / Advan

• tage SkillsHands-on experience with web scraping and automation tools such as BeautifulSoup, Requests, Scrapy, Selenium, Playw
• right, etc.Working knowledge of Django, Flask,
• or FastAPIExperience with scheduling jobs (cron, internal
• schedulers)Exposure to message queues or batch process