Lead Data Engineer - Cloud-Native Applications
Lead Data Engineer - Cloud-Native Applications
Job Summary
We are seeking a talented Lead Data Engineer to join our team and help drive the development and implementation of cloud-native data solutions. The ideal candidate will have a strong foundation in database technologies and a proven track record of delivering innovative data solutions. With a deep understanding of cloud-native architectures, the Lead Data Engineer will be responsible for designing and implementing data pipelines, optimizing database performance, and ensuring the scalability and security of cloud-based data storage and retrieval systems. As part of a dynamic and collaborative environment, the Lead Data Engineer will also mentor and support junior engineers, contribute to the development of new data engineering tools and techniques, and collaborate with cross-functional teams to identify and address data-related challenges.
Responsibilities
- Design and implement data pipelines using cloud-native architectures such as Apache Kafka, Apache Flink, and AWS Lambda
- Optimize database performance and ensure the scalability of cloud-based data storage and retrieval systems
- Implement security measures to ensure the confidentiality, integrity, and availability of cloud-based data
- Collaborate with cross-functional teams to identify and address data-related challenges
- Provide technical leadership to junior engineers, mentoring them on best practices and new technologies
- Contribute to the development of new data engineering tools and techniques
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Minimum of 5 years of experience in data engineering, with a focus on cloud-native architectures and technologies
- Proficiency in programming languages such as Python, Java, and Scala
- Experience with cloud-native architectures such as Apache Kafka, Apache Flink, and AWS Lambda
- Strong knowledge of database technologies such as SQL and NoSQL databases
- Experience with cloud-based data storage and retrieval systems such as Amazon S3, Amazon RDS, and AWS Redshift
- Experience with cloud-based security and compliance technologies such as AWS IAM and AWS Shield
- Experience with cloud-based analytics and data visualization tools such as Amazon QuickSight and AWS Glue
- Strong communication and collaboration skills, both verbally and in writing
- Ability to work independently and effectively within a fast-paced environment
Location
Remote
Salaries
0,000 - 0,000
Skills
- Python
- Java
- Scala
- AWS
- AWS Lambda
- AWS Flink
- AWS Kinesis
- AWS RDS
- AWS S3
- AWS Glue
- AWS IAM
- AWS Shield
