Python Developer
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 6, 2026. Infosys scores A on the Alion truth index.
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
Preferred skills
Technology->Open System->Open System- ALL->Python
Education
Bachelor of Engineering