- Singapore
Accenture Hiring! Full Time Data Engineer in - Ricebowl
Working Location
Job Description
Responsibilities
We are seeking a new talent to join the AI & Data team
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform and load processes to migrate and deploy data across systems.
You are expected to be a subject matter expert with deep knowledge and experience, demonstrating influencing and advisory skills.
You will take responsibility for team decisions, engage with multiple teams, and contribute to key decisions by providing solutions that apply across various groups.
Expert proficiency in Data Engineering is required. Advanced proficiency in Data Migrations, Data Access, and Data Pipelines is suggested, along with expert proficiency in Data Processing.
Provide advanced guidance on data architecture and pipeline optimization to enhance overall system performance.
Shape data engineering approaches and best practices to ensure scalable and reliable data solutions.
Collaborate with cross-functional teams to influence data strategy and drive alignment on technical decisions.
Lead efforts to elevate data quality standards and implement innovative solutions for complex data challenges.
Engage stakeholders to communicate technical concepts clearly and foster a culture of continuous improvement.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform and load processes to migrate and deploy data across systems.
You are expected to be a subject matter expert with deep knowledge and experience, demonstrating influencing and advisory skills.
You will take responsibility for team decisions, engage with multiple teams, and contribute to key decisions by providing solutions that apply across various groups.
Expert proficiency in Data Engineering is required. Advanced proficiency in Data Migrations, Data Access, and Data Pipelines is suggested, along with expert proficiency in Data Processing.
Provide advanced guidance on data architecture and pipeline optimization to enhance overall system performance.
Shape data engineering approaches and best practices to ensure scalable and reliable data solutions.
Collaborate with cross-functional teams to influence data strategy and drive alignment on technical decisions.
Lead efforts to elevate data quality standards and implement innovative solutions for complex data challenges.
Engage stakeholders to communicate technical concepts clearly and foster a culture of continuous improvement.
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