engineering
Posted 4 days agoDatabase Engineer
at CodeRoad
Latin America, United StatesOn-site
Requirements
- Writing and optimizing complex SQL queries to ensure efficient data retrieval and manipulation.
- Installing and configuring database management systems (DBMS) such as MySQL, PostgreSQL, Oracle, or SQL Server.
- experience as a DBA, Bachelor’s degree in CS / Data Science or equivalent experience
- Databases & data warehousing (OLTP, ETL, multiple RDBMS)
- SQL + Python (Pandas, NumPy, Pydantic); R is a plus Data analysis
- Knowledge of operating systems
- Enterprise security & IT fundamentals
- Basic understanding of machine learning
- Ability to manage multiple priorities/projects
Experience
- Identifying and implementing innovative solutions to improve database systems and processes. Requirements 5+ years of
Benefits
- Detail-oriented, process-driven, continuous improvement focus What you’ll love: 100% Remote Holidays Off Paid Time Off
- Health insurance assistance program
- Competitive Pay (USD)
Additional details
- At Coderoad, we're more than just a software development company—we're your gateway to the global tech world.
- Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for.
- We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment.
- Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! Key
- Developing and implementing databases, including defining tables, relationships, and indexes.
- Ensuring data is organized efficiently and eliminating redundancy. Performance Optimization:
- Creating and managing indexes to improve database performance.
- Continuously monitoring database performance and making adjustments to enhance speed and efficiency. Database Management and Administration:
- Performing regular maintenance tasks, such as backups, restores, and updates.
- Implementing security measures to protect data, including encryption, access controls, and auditing. Data Modeling and Architecture: