The company is seeking a Senior Data Engineer with strong database expertise to design, build, and maintain robust data infrastructure, ensuring optimal database performance and security within a cloud-first AWS environment.
Requirements
- 7+ years of experience in data engineering with significant database focus
- Extensive experience with AWS services including: AWS Lake Formation (required), AWS Step Functions (required), AWS Lambda (required), Amazon S3 (required), AWS API Gateway (required), Amazon RDS (required)
- Strong experience with database technologies: MySQL, Oracle, SQL Server, PostgreSQL, MariaDB, DynamoDB, DocumentDB, Neptune, MongoDB, Redshift, Snowflake
- Proficient in programming languages: Python, Java, Scala
- Advanced SQL and database optimization expertise
- Experience with AWS RDS platforms including multi-AZ deployments, read replicas, and automated backups
- Experience with big data technologies: Hadoop, Spark, Kafka
Responsibilities
- Design and create overall data architecture including databases, data lakes, and large-scale processing systems
- Build and maintain data pipelines that transform and transport data from various sources using AWS services
- Design, configure, and maintain cloud-based database environments including AWS RDS
- Monitor database performance and proactively identify and address performance issues
- Ensure database security including access control, data encryption, and compliance
- Develop and implement backup and recovery procedures
- Optimize data retrieval and perform database maintenance tasks
Other
- Provide technical leadership and mentorship to junior team members
- Lead strategic planning for data infrastructure initiatives
- Manage resources and coordinate cross-functional projects
- Drive change management initiatives for data systems
- Bachelor's degree in a STEM program (Computer Science, Engineering, Mathematics, etc.)
