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 5 year(s) of experience is required Educational Qualification: 15 years full time education
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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Develop and optimize data pipelines to ensure efficient data flow and processing.
- Monitor and troubleshoot data quality issues, implementing corrective actions as necessary.
Professional & Technical Skills:
- Proficiency in Data Engineering.
- Experience with Data Architecture Principles, Google BigQuery, Google Cloud Data Services.
- Strong knowledge of ETL processes and data integration techniques.
- Experience with data modeling and database design.
- Familiarity with cloud-based data services and platforms.
This position is based at our Bengaluru office.