Data Engineer
Accenture
Bengaluru2–7 yrs4h agovia Naukri
About the Role
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to optimize data handling and support organizational data needs is an integral part of daily activities.
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.
- Perform independently and become an SME.
- Actively participate and contribute in team discussions.
- Provide solutions to work-related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members in understanding data engineering concepts and best practices.
Requirements & Tech Stack
- Data Engineering
- Designing and implementing data pipelines and ETL processes.
- Data storage solutions and database management.
- Data quality assurance and validation techniques.
- Working with large datasets and optimizing data workflows.
- Cloud-based data platforms and tools.
Qualifications
- 15 years full time education.
- Minimum 2 years of experience in Data Engineering.