Database Engineer

What We're Looking For:

We are in search of a Database Engineer who will play a pivotal role in designing, implementing, and managing robust database systems to support our data-driven decision-making processes.

Our organization thrives on trust and honesty.

We believe in the positive and ethical impacts of cutting-edge technologies in a decentralized environment. We are looking for candidates who demonstrate a commitment to these values through their professional conduct and expertise.

Role:

• Database Design and Management: Design, implement, and maintain robust and scalable database systems to handle large-scale data, ensuring data integrity, performance optimization, and high availability.
• ETL Processes: Develop and manage efficient Extract, Transform, Load (ETL) pipelines to facilitate the smooth flow of data from various sources into the database systems.
• Cloud Services Management: Utilize cloud platforms such as AWS, Google Cloud, or Azure to deploy, manage, and scale database solutions. Leverage cloud-based tools and services for database management, security, and performance.
• Data Integration and Warehousing: Integrate diverse data sources, perform data warehousing tasks, and ensure seamless data accessibility for analytical and operational needs.
• Performance Tuning and Optimization: Monitor database performance, identify bottlenecks, and apply tuning techniques to optimize query performance and system efficiency.
• Data Security and Compliance: Ensure database security, manage user access controls, and adhere to data privacy and compliance regulations.

Requirements:

• Educational Background (Essential): A degree in Computer Science, Information Technology, Mathematics, Engineering, or demonstrated equivalent self-learning. Proficiency in database design, optimization, and data modeling techniques.
• Database Management Systems (Essential): In-depth knowledge of SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases. Experience with database design, indexing, and query optimization.
• ETL Processes (Essential): Demonstrable experience in designing and implementing ETL processes using tools such as Apache NiFi, Talend, or custom scripts in Python or SQL.
• Data Integration and Warehousing (Essential): Familiarity with data warehousing concepts, ETL frameworks, and data integration best practices. Experience with data warehouse platforms like Snowflake, Redshift, or BigQuery.
• Performance Tuning (Essential): Expertise in performance tuning, query optimization, and database monitoring tools. Proficiency in using performance analysis tools to diagnose and resolve performance issues.
• Programming Proficiency (Essential): Advanced skills in object-oriented programming, especially in Python, for scripting and automation tasks.
• Statistical Analysis and Machine Learning (Desirable): Knowledge of statistics, machine learning algorithms, and time series analysis. Experience in applying these methods to large datasets.
• Version Control and Debugging (Essential): Experience in code troubleshooting, debugging, and proficiency in using version control systems like Git.
• Blockchain Familiarity (Nice to have): Basic understanding of blockchain technology, smart contracts, and DeFi principles.
• Qualitative Skills (Essential): Inquisitive nature with the ability to critically assess and question information. Independence and ownership, with the capability to manage complex tasks with minimal guidance. High sense of agency and adaptability, with the ability to think on first principles in new situations to solve problems effectively.
• Data Visualization (Nice to have): Experience in collecting data from various sources and streamlining it into visualization platforms like Power BI or Amplitude.