Infosys

Python Developer

Bangalore, 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

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: 7 Oct 2026

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

the posting

We are looking for a skilled Python, SQL, and ETL Developer to design, build, and maintain scalable data pipelines and data integration solutions. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to ensure reliable, high‑quality data delivery for reporting, analytics, and downstream applications.

Responsibilities

Design, develop, and maintain Python applications

Write clean, efficient, and reusable Python code

Develop data processing and automation scripts

Work with databases using SQL

Perform code reviews and guide junior developers

Troubleshoot application and data issues

Support production deployments and enhancements

Develop, maintain, and optimize ETL pipelines to ingest, transform, and load data from multiple sources

Write efficient, scalable, and well-documented Python scripts for data processing and automation

Design and optimize complex SQL queries, views, and stored procedures for performance and accuracy

Perform data validation, quality checks, and reconciliation to ensure data integrity

Troubleshoot and resolve data pipeline failures and performance issues

Collaborate with data analysts, data scientists, and business teams to understand data requirements

Implement best practices for data security, governance, and compliance

Maintain technical documentation for ETL workflows and data models

Technical requirements

Strong experience in Python development

Good understanding of SQL and data handling

Experience working in production environments

Strong proficiency in Python (data manipulation, scripting, automation)

Advanced knowledge of SQL (joins, subqueries, window functions, performance tuning)

Hands-on experience with ETL/ELT tools or frameworks

Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle)

Solid understanding of data warehousing concepts (fact/dimension tables, star schema)

Ability to work with large datasets and optimize data processing workflows

Strong analytical, problem-solving, and debugging skills

Additional responsibilities

Experience with cloud platforms (AWS, Azure, or GCP)

Familiarity with big data technologies (Spark, Hadoop)

Exposure to workflow schedulers (Airflow, Prefect, Cron)

Knowledge of CI/CD pipelines and version control (Git)

Understanding of data governance and lineage tools

Education

Bachelor of Engineering

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

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