Python, ETL Developer_Truist

Job Description:

• 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

Key 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

Technical Requirements:

• Python and ETL

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

Preferred Skills: