Role Summary:
As a Data Platform Engineer at Accenture, you will contribute to the development and refinement of the enterprise data platform blueprint and design. You will work closely with Integration Architects and Data Architects to ensure seamless integration across various systems and data models while building efficient, cohesive data platform solutions supporting key organizational goals.
Key Roles & Responsibilities:
- Perform independently as a Subject Matter Expert (SME) on data platform components.
- Collaborate with Integration Architects and Data Architects to align system integration with data models.
- Actively participate in team discussions and contribute solutions to technical challenges.
- Work with cross-functional teams to align data platform designs with business requirements.
- Identify potential performance optimizations and architectural improvements across data environments.
- Support junior team members by sharing best practices and technical guidance.
Professional & Technical Requirements:
- Mandatory Skill: Strong proficiency in Python Frameworks.
- Minimum 3+ years of hands-on experience in Python Frameworks and data engineering.
- Strong background in designing and implementing scalable data platform components.
- Familiarity with data integration techniques and data architecture standards.
- Ability to efficiently troubleshoot and resolve complex data platform issues.
- Experience with automation and scripting to streamline enterprise data workflows.
- Clear understanding of system interoperability and data model alignment.
- Educational Qualification: 15 years full-time education.