We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate will have strong expertise in ETL processes, databases, data quality, and cloud-based data platforms.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Build and optimize data architectures to support business requirements.
- Monitor pipeline performance and ensure data accuracy, quality, and reliability.
- Work with relational and non-relational databases.
- Implement data validation, security, and governance practices.
- Collaborate with cross-functional teams and stakeholders to deliver data solutions.
- Lead technical discussions,
make team-level decisions, and mentor junior engineers.
Required Skills
- Strong experience in Data Engineering.
- Hands-on experience with data pipelines and ETL processes.
- Valuable knowledge of SQL, databases, and data processing frameworks.
- Familiarity with cloud-based data storage and processing platforms.
- Experience implementing data quality checks and validation mechanisms.
- Understanding of data security and governance principles.
- Strong problem-solving, communication, and collaboration skills.
Eligibility
- Minimum 5 years of relevant experience in Data Engineering.
- 15 years of full-time education.