Data Engineer
Accenture
Hyderabad2–4 yrs3h agovia Naukri
Accenture
About the Role
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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages.
Key Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create data pipelines.
- Ensure data quality.
- Implement ETL (extract, transform, and load) processes to migrate and deploy data across systems.
- Collaborate with cross-functional teams to understand data requirements.
- Deliver solutions that meet business needs.
- Troubleshoot issues in data flow and processing stages.
- Be an SME.
- Collaborate and manage the team to perform.
- Be 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.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Continuously evaluate and improve data processes to enhance efficiency and effectiveness.
Requirements & Tech Stack
- Google Cloud Platform Architecture
- Google Looker Data Platform
- Data modeling and database design principles
- Data warehousing solutions and ETL tools
- Familiarity with programming languages such as Python or Java for data manipulation.
Qualifications
- Minimum 5 year(s) of experience required.
- Minimum 5 years of experience in Google Cloud Platform Architecture.
- 15 years full-time education.