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Python, ETL Developer_Truist

Infosys
Hyderabad, India
2-5 Years
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  • Posted 7 days ago
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Job Description

Python and ETL

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. 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.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Infosys

Job ID: 148516837

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Last Updated: 30-05-2026 06:08:30 PM
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