Python & ETL Developer - 6519350

Accenture•Charlotte, NC

7d•$47 - $57•Onsite

About The Position

Accenture Flex is hiring a Python ETL Developer for fixed-duration, project-based work. The role works closely with business representatives, data owners, end users, application designers, and data architects to model current and new data. The developer understands business requirements, designs supporting data models, and ensures data integrity and usability across systems. The role is expected to serve as a subject matter expert, collaborate with and help manage a team, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and solve problems within and across teams. The position requires 80% onsite client work and client-mandated time away five days per quarter. Accenture Flex employees work onsite at projects in their local metro area, significantly reducing or eliminating travel demands. This position offers $47.00–$57.00 per hour in the listed locations. Accenture Flex offers medical, dental, vision, and long-term disability coverage, a 401(k) plan, paid time off, and access to learning resources.

Requirements

At least 5 years of IT work experience.
Experience with Python and SQL.
ETL development experience.
Advanced proficiency in Python programming.
Associate degree.

Nice To Haves

Advanced proficiency in ETL development.
Advanced proficiency in Oracle SQL Developer, data warehouse tools, and the Pandas Python library.
Good communication and leadership skills.
Experience with the PANDA Framework.
Banking and finance domain knowledge and experience.

Responsibilities

Work closely with business representatives, data owners, end users, application designers, and data architects to model current and new data.
Understand business requirements and design data models that support those needs.
Ensure data integrity and usability across systems.
Serve as a subject matter expert and collaborate with and manage the team to perform effectively.
Take responsibility for team decisions, engage with multiple teams, and contribute to key decisions.
Provide solutions to problems within the immediate team and across multiple teams.
Develop and refine data models that align with business strategies and technical requirements.
Analyze complex data structures and provide insights to improve data quality and accessibility.
Support and guide less experienced colleagues by sharing expertise and best practices.
Collaborate with cross-functional teams to ensure seamless integration of data solutions.
Contribute to continuous improvement of data modeling standards and methodologies.