Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education Databricks Certification Must
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 project requirements, fostering effective communication among team members, and supporting the overall architecture strategy to maintain a robust and scalable data workplace.
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 needs.
• Assist in troubleshooting and resolving data platform issues to maintain system reliability.
• Support junior team members by sharing knowledge and providing guidance on best practices.
• Continuously evaluate and recommend improvements to enhance data platform performance and scalability.
Professional & Technical Skills:
• Must To Have Skills: Proficiency in Data Engineering.
• Experience with data pipeline development and management.
• Strong understanding of data integration techniques and tools.
• Familiarity with cloud-based data platforms and architectures.
• Knowledge of data storage solutions and data
📌 Data Engineer (Chennai)
🏢 Accenture in India
📍 Chennai
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