Data Engineer

- 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 cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Assist junior team members in understanding data engineering concepts and best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management.
- Familiarity with data quality assurance and validation techniques.
- Ability to work with large datasets and optimize data processing workflows.
- Understanding of cloud-based data platforms and distributed computing.