Data Engineer
Accenture
Data Engineer
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. Minimum 3 year(s) of experience is required. 15 years full time education is required.
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives.
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 stakeholders to gather and analyze data requirements.
- Monitor and optimize data pipelines for performance and reliability.
Professional & Technical Skills:
- Proficiency in Data Engineering.
- Experience with data warehousing solutions and architecture.
- Strong understanding of ETL processes and data integration techniques.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of programming languages such as Python or Java for data manipulation.