Senior SQL Data Engineer

March 15

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Urbansoft™

Urbansoft™ is a company that spearheads the digital transformation journey by developing and building mission-critical software solutions tailored to meet the specific needs of its clients. They blend human insight with cutting-edge technology to create personalized solutions in areas such as Artificial Intelligence, Blockchain, and Cybersecurity. With expertise in data engineering, web and mobile development, and robotic process automation, Urbansoft™ focuses on delivering innovative applications that enhance operational efficiencies and drive business success.

eCommerce Integration • Smart Watches • SEO | SEM • Mobile Applications • iOS | Android Applications

📋 Description

• Design data across the full range from fast/clean ETL streams through to automation. • Ability to work with large data sources. • Do proof of concepts and refine logic for transformation of new data sources. • Wrangle financial data to provide reconciliations between different data sources and financial systems. • Write test cases to validate data transformations. • Collaboration with developers, system administrators, and other stakeholders to ensure data systems are aligned with business goals. • Providing SQL-related support for application development, ensuring smooth data interactions between applications and databases. • Providing ongoing support for production databases, addressing user queries and performance-related concerns. • Documenting SQL scripts, database schemas, and queries for future reference or use by other team members. • Maintaining clear documentation of processes and standards for database management and optimization. • Ensuring code compliance with industry standards, regulations, and best practices.

🎯 Requirements

• Ability to use big data technologies on AWS cloud services: Athena, Redshift, Lambda, Cloud Formation Stack, EMR. • Advanced knowledge of SQL (Oracle, Redshift, PostgreSQL). • Writing and Optimizing SQL Queries: Writing complex SQL queries to extract, manipulate, and analyze data from relational databases. • Optimizing SQL queries for performance. • Managing data import and export processes between databases or systems. • Ensuring data consistency, accuracy, and integrity across the database. • Analyzing and improving database performance using indexing, query optimization, and resource management. • Identifying and resolving database bottlenecks and performance issues. • Generating reports based on business requirements and analyzing data to provide insights for decision-making. • Creating stored procedures, triggers, and views to streamline reporting and analysis. • Troubleshooting and resolving data-related issues.

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