Python, ETL Developer_Truist
-
Infosys Limited
- Hyderabad
- 2 - 5 Years
- Full Time
- Python - Big Data
Posted June 25, 2026 applications close July 25, 2026
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Job Description
Responsibilities
Develop and maintain ETL pipelines using Python to extract, transform, and load data from multiple sources.
- Write efficient SQL queries for data extraction, validation, reconciliation, and performance tuning.
- Implement data cleansing, transformation logic, and business rules to ensure high-quality datasets.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications and workflows.
- Monitor pipeline execution, troubleshoot failures, perform root-cause analysis, and implement preventive fixes.
- Create and maintain technical documentation for ETL jobs, data mappings, and operational runbooks.
- Follow coding standards, version control practices, and participate in code reviews to ensure maintainability.
- Support testing activities by preparing test data, validating outputs, and ensuring end-to-end data integrity.
Additional Responsibilities
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 2–5 years of experience in Python development and ETL/data integration work.
- Strong working knowledge of SQL, including joins, aggregations, subqueries, and query optimization basics.
- Experience handling structured datasets and implementing transformation/validation logic.
- Ability to troubleshoot data issues and communicate findings clearly to technical and non-technical teams.
Preferred Qualifications:
- Experience with orchestration/scheduling tools (e.g., Airflow) and building dependable batch workflows.
- Familiarity with Python data libraries (e.g., Pandas) for transformations and data quality checks.
- Exposure to cloud data platforms or warehouses (e.g., AWS/GCP/Azure, Snowflake/Redshift/BigQuery).
- Experience with CI/CD practices and automated testing for data pipelines.
- Demonstrated ability to improve pipeline performance, reliability, and observability through monitoring and logging.
Technical and Professional Requirements
Python and ETL
Preferred Skills
- Python – Big Data
Educational Requirements
Bachelor of Engineering