Job Description

• Design and develop data pipelines, databases, and APIs that meet the business and technical specifications
• Implement and optimize data models, schemas, queries, and indexes for various data sources, such as SQL and NoSQL databases
• Ensure data security, privacy, and compliance with relevant regulations and standards
• Troubleshoot and resolve data issues and bugs, and perform data testing and validation
• Monitor and improve the performance, scalability, and reliability of the data systems
• Document and maintain the data architecture and codebase
• Research and evaluate new data technologies and trends, and provide recommendations and feedback
• Bachelors degree in computer science, engineering, or related field
• 5+ years of experience as a backend engineer or similar role, working with data design and development
• Proficient in Python and Go, or other programming languages used for backend development
• Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Redis
• Experience with data pipeline and ETL tools, such as Apache Airflow, Apache Kafka, and AWS Glue
• Experience with data API development and integration, such as RESTful and GraphQL APIs
• Experience with data analysis and business intelligence tools, such as Tableau, Power BI, and Looker, is a plus
• Knowledge of data quality, governance, and security principles and practices
• Familiarity with agile software development methodologies, tools, and best practices
• Excellent communication, collaboration, and problem-solving skills, with the ability to work independently and as part of a team

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