Senior Python ETL Engineer – Onsite Data Integration

Archer; Charlotte (NC); Presencial; USD 65.000 - 79.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

Long-term disability

401(k)

Paid time off

Descripción de la vacante

Archer, in collaboration with Accenture Flex, seeks a Python ETL Developer to model data, design scalable data solutions, and ensure data integrity across systems. You will interact with business representatives, data owners, and engineers to translate requirements into robust data models.

The role emphasizes onsite client work (80%) with collaboration across multiple teams, and requires strong Python, SQL, and ETL skills. Prior banking/finance domain knowledge is a plus.

Formación

• 5+ years of IT work experience.
• Experience in Python, SQL.
• ETL Development Experience.
• Advanced proficiency in Python Programming Language is required.
• Associates degree

Responsabilidades

• Model current and new data with business stakeholders and data owners.
• Design data models to support requirements and ensure data integrity.
• Lead and guide the team, collaborate across teams, and drive data solutions.
• Develop and refine data models aligned with business strategies and technical needs.
• Analyze complex data structures and provide insights to improve data quality and accessibility.
• Collaborate with cross functional teams for seamless data integration.
• Contribute to data modeling standards and methodologies.

Conocimientos

Python

SQL

ETL Development

Educación

Associates degree

Herramientas

Oracle SQL Developer

Data Warehouse Tools

Pandas

Descripción del empleo

Archer, in collaboration with Accenture Flex, seeks a Python ETL Developer to model data, design scalable data solutions, and ensure data integrity across systems. You will interact with business representatives, data owners, and engineers to translate requirements into robust data models.

The role emphasizes onsite client work (80%) with collaboration across multiple teams, and requires strong Python, SQL, and ETL skills. Prior banking/finance domain knowledge is a plus.