SP Software Solutions | SQL Developer | philadelphia, pa
7 days ago
Title: SQL Developer (Consultant)
Duration: 12-16 month; Long term contract w/ potential to convert
Seniority: Mid-Level; 2+ years
Location: Philadelphia, PA
About Them: Our client is a leading healthcare company dedicated to improving patient outcomes through innovative data solutions. Their team is committed to leveraging technology to process and analyze large datasets, ensuring the highest standards of care and operational efficiency.
Position Overview: They are seeking a skilled SQL Developer to join their dynamic team. The ideal candidate will have a strong background in SQL development, experience with large datasets, and the ability to perform light ETL (Extract, Transform, Load) tasks. This role is critical in supporting their data-driven initiatives and ensuring the integrity and accessibility of the data.
Key Responsibilities:
- Develop, optimize, and maintain complex SQL queries and stored procedures.
- Design and implement database structures to support large-scale data processing.
- Perform light ETL tasks to integrate data from various sources into our data warehouse.
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Monitor and troubleshoot database performance issues.
- Document database designs, processes, and procedures.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a SQL Developer or similar role.
- Strong proficiency in SQL and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL).
- Experience with ETL tools and processes.
- Familiarity with healthcare data standards and regulations (e.g., HIPAA) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Skills:
- Experience with data warehousing and big data technologies.
- Knowledge of scripting languages (e.g., Python) for data manipulation.
- Understanding of data visualization tools (e.g., Tableau, Power BI).
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