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SysMind Tech

SQL developer

SysMind Tech, Princeton, New Jersey, us, 08543


Role :: SQL Developer Location :: Dallas, TX Duration :: Contract (long term)

Overview:

We are seeking a talented SQL Developer to join our dynamic team. As an SQL Developer, you will play a crucial role in designing, implementing, and maintaining database solutions to support our organization's data needs. You will collaborate closely with cross-functional teams to understand requirements, develop efficient SQL queries, and optimize database performance. This role offers an exciting opportunity to work on diverse projects and contribute to the growth and success of our company.

Key Responsibilities: • Design, develop, and maintain SQL databases and schemas to meet business requirements. • Write efficient SQL queries, stored procedures, functions, and triggers to extract, manipulate, and analyze data. • Collaborate with stakeholders to gather and understand data requirements, and translate them into technical specifications. • Perform data analysis and profiling to identify trends, patterns, and anomalies, and provide insights to support decision-making. • Optimize database performance by tuning queries, indexing tables, and implementing best practices for data integrity and security. • Develop and maintain documentation related to database designs, data dictionaries, and processes. • Troubleshoot database issues and provide timely resolution to ensure data availability and reliability. • Stay updated with the latest trends and advancements in SQL technologies and recommend improvements to enhance database systems.

Qualifications: • Bachelor's degree in Computer Science, Information Technology, or related field. • Proven experience as an SQL Developer or Database Administrator, with a strong understanding of relational database concepts and SQL syntax. • Proficiency in writing complex SQL queries and optimizing database performance. • Hands-on experience with database management systems such as MySQL, PostgreSQL, SQL Server, or Oracle. • Familiarity with data modeling techniques and tools. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills to work effectively in a team environment. • Ability to manage multiple tasks and prioritize workload in a fast-paced environment.