- Join a collaborative team where you ll build reliable data solutions that power analytics and business decisions
- In this role you ll work hands on with Python and ETL to design develop and optimize data pipelines that move and transform data across systems with accuracy and speed
- You ll partner closely with analysts data engineers and stakeholders to understand requirements improve data quality and deliver scalable solutions
- If you enjoy solving data challenges writing clean and maintainable code and continuously improving how data flows through an organization this is a great opportunity to grow your impact while working in a supportive learning focused environment
- 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
Technology->Analytics - Packages->Python - Big Data
