Database Engineer
Description For Database Engineer
Pavago is seeking a Database Engineer for an innovative project focused on integrating advanced algorithms and dynamic user interactions. This role is crucial for analyzing and visualizing large-scale engineering datasets, requiring expertise in database architecture and optimization. The position involves designing and optimizing database systems, implementing efficient data pipelines, and collaborating with the development team to support real-time user interactions.
The ideal candidate will have 3-4 years of experience with strong proficiency in SQL, C#, and Python, along with knowledge of cloud platforms and big data technologies. You'll be working with cutting-edge technologies including Azure, MongoDB, and machine learning frameworks like TensorFlow or PyTorch.
Your daily responsibilities will include managing massive datasets, implementing data pipelines, and ensuring high performance and scalability. You'll also contribute to algorithm refinement and machine learning model integration for advanced data processing.
The role offers a comprehensive interview process, including technical assessments and team meetings, ensuring the right fit for both the candidate and the company. This is an excellent opportunity for a database professional who thrives in tackling complex data challenges and is passionate about enhancing efficiency and scalability in a remote work environment.
Working in CST time zone, you'll be part of a dynamic team working on innovative solutions at the intersection of data optimization and technological innovation. The position offers the flexibility of remote work while being part of a cutting-edge project that pushes the boundaries of database engineering and algorithm integration.
Responsibilities For Database Engineer
- Create, optimize, and enhance database systems to efficiently manage and process large-scale data operations
- Implement robust pipelines for seamless data exchange between algorithms and the database
- Enhance database performance by optimizing SQL queries, indexing, and architecture
- Collaborate with the development team to ensure real-time interactivity between users and graph data
- Assist in refining proprietary algorithms to improve statistical and economic insights
- Contribute to the integration of machine learning frameworks for enhanced data processing and analysis
Requirements For Database Engineer
- Strong knowledge of SQL, C#, and Python for optimizing databases and integrating algorithms
- Familiarity in big data technologies, cloud services (Azure, MongoDB, NoSQL)
- Knowledge of machine learning frameworks like TensorFlow or PyTorch
- Exceptional analytical and problem-solving abilities
- Strong communication skills
- Proficiency with project management tools (Asana, Azure Boards, Slack, or Jira)
- 3-4 Years of proven track record in database design and optimization
- Experience in developing data pipelines for large-scale operations
- Experience working in fast-paced environments with cross-functional teams
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