SQL DEVELOPER

Summary

We are looking for an experienced SQL Developer to join our Data Analytics team. The role will focus on developing, maintaining, and optimizing SQL-based solutions that support enterprise data platforms and downstream business applications. The successful candidate will work closely with Data Engineers, ETL Developers, and other technical stakeholders to ensure efficient data processing, reliable data integration, and high-quality data delivery.

Key Responsibilities:

• Develop, maintain, and optimize SQL-based data solutions, including stored procedures, views, queries, and database objects.

• Collaborate with Data Engineers, ETL Developers, and Data Analytics teams to build and maintain reliable data pipelines.

• Translate technical and business requirements into effective database solutions.

• Troubleshoot, investigate, and resolve issues affecting data platforms and database operations.

• Create and maintain technical documentation, including system architecture diagrams, data dictionaries, and operational procedures.

• Monitor data workflows, identify performance bottlenecks, and implement improvements to ensure efficient processing.

• Extract and integrate data from various sources, including production databases and third-party systems.

• Develop data validation routines to maintain data accuracy, consistency, integrity, and quality standards.

• Apply SQL development best practices, particularly in query optimization, indexing, and stored procedure development.

• Review business processes, technical specifications, and mapping documents to ensure alignment with data requirements.

• Ensure compliance with data security and confidentiality standards.

• Work independently while maintaining effective collaboration with cross-functional teams.

Qualifications:

• 5–10+ years of professional experience in SQL Development or a similar database-focused role.

• Advanced proficiency in SQL, including complex queries, stored procedures, database views, and indexing techniques.

• Strong programming or scripting skills in Python, Scala, or other comparable languages for data processing and manipulation.

• Solid understanding of database structures, data integration, and enterprise data platforms.

• Familiarity with ETL processes, data pipelines, and data warehouse concepts is an advantage.

• Ability to understand technical requirements and translate them into practical solutions.

• Strong troubleshooting, analytical, and problem-solving skills.

• Excellent communication and collaboration skills when working with technical and business stakeholders.

• Ability to manage multiple priorities and deliver quality outputs in a fast-paced environment with changing requirements and deadlines.

• Capable of working independently with minimal supervision and contributing effectively within a team.

• Willingness and ability to learn new tools and technologies as needed.