Urgent Requirement For DataLake Engineer.

Role & responsibilities

- Design, implement, and maintain scalable data lake solutions on AWS
- Develop and optimize ETL processes using AWS Glue Jobs
- Create and manage data pipelines to extract, transform, and load data into Redshift database
- Collaborate with cross-functional teams to ensure data lake architecture meets business requirements
- Monitor and optimize data lake performance and scalability
- Troubleshoot and resolve any data-related issues in a timely manner

Preferred candidate profile

- Bachelor's degree in Computer Science, Information Technology, or related field
- Proven experience working with AWS data lake services such as S3, Glue, and Redshift Database, AWS
- Strong expertise in building ETL pipelines using AWS Glue Jobs
- Experience with designing and implementing data lake architectures on AWS
- Proficient in SQL and database technologies, with a focus on Redshift
- Knowledge of data modeling and schema design best practices
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills

- AWS Certification (e.g. AWS Certified Big Data Specialty)
- Experience with data warehousing concepts and best practices
- Knowledge of other AWS services like Athena, EMR, Kinesis, etc.
- Familiarity with Python or other programming languages for data manipulation