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
Technical
02Requirements
Python and ETL
Preferred Skills:
Technology->Analytics - Packages->Python - Big Data .