Python Developer
Infosys
Bengaluru East, Karnataka, India3h agovia LinkedIn
Key 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
Requirements & Tech Stack
- 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
- 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