Sr. Database Analyst - Data Engineer (Florida) - Remote | WFH

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Job Overview

The Sr. Database Analyst - Data Engineer will be responsible for the design, implementation, and maintenance of robust data architectures and solutions that effectively support data analytics and business intelligence initiatives. This role requires a deep understanding of database management systems, data modeling, ETL processes, and data warehousing concepts. Collaborating with cross-functional teams, the successful candidate will ensure data quality, accessibility, and security while optimizing performance for large-scale data operations.

Job Responsibilities

• Design, build, and maintain scalable and efficient database systems for data storage and retrieval.
• Develop ETL (Extract, Transform, Load) processes to integrate data from various sources into data warehouses.
• Ensure the reliability, security, and performance of database systems in alignment with organizational needs.
• Analyze complex datasets to identify trends and insights that drive informed decision-making.
• Collaborate with stakeholders to define data requirements and ensure alignment with business objectives.
• Monitor database performance and implement tuning strategies for optimization.
• Document database designs, processes, and technical specifications for future reference.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in database analysis and data engineering.
• Proficiency in SQL and experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
• Expertise in data warehousing concepts and ETL tools such as Apache NiFi, Talend, or Informatica.
• Familiarity with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
• Strong analytical and problem-solving skills with the ability to work independently and within a team.

Technologies & Tools

The Sr. Database Analyst - Data Engineer will utilize a variety of technologies and tools essential for data management and processing. Key technologies include SQL for database querying, ETL tools for data integration, and cloud platforms such as AWS or Google Cloud for data storage and processing. Additionally, proficiency in analytics and visualization tools like Tableau or Power BI will be advantageous for translating data into actionable insights.

Ideal Candidates

Ideal candidates for this position will possess a proactive attitude, strong analytical capabilities, and a passion for leveraging data to drive business success. They will demonstrate excellent communication skills, enabling them to convey complex data concepts to non-technical stakeholders effectively. The ability to adapt to a fast-paced environment, coupled with a continuous learning mindset, will enable them to thrive in this dynamic role and contribute significantly to the organization's data initiatives.