Data Platform Engineer
Accenture
Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Python Frameworks Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to aligning platform components with organizational data strategies, fostering effective communication among teams, and supporting the overall architecture to maintain a robust and scalable data environment.
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Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure alignment of data platform components with business requirements.
- Assist in troubleshooting and resolving technical issues related to data platform integration.
- Support continuous improvement initiatives by identifying opportunities to optimize data workflows and platform performance.
- Document processes and solutions to facilitate knowledge sharing within the team.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks.
- Experience with data integration techniques and working knowledge of data modeling concepts.
- Familiarity with cloud-based data platforms and services.
- Ability to write clean, maintainable, and efficient code using Python.
- Understanding of system architecture and data flow within complex environments.
- Strong problem-solving skills and attention to detail.
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