SQL Developer Essential to Boost Up Data Analysis

SQL Developer Essential to Boost Up Data Analysis Job Description Duties: Advanced Relational Schema Design: Create, construct, and manage denormalised and normalised relational database structures with stringent primary/foreign key constraints and hierarchies. High-Performance Query Engineering: Create, modify, and manage intricate SQL queries, views, subqueries, and standard table expressions to send data payloads to backend services in less than a second. Database Programmability Engineering: Create, assemble, and troubleshoot sophisticated procedural database blocks, such as automated cursor-less loops, user-defined functions, transactional stored procedures, and system triggers. Analysis of Query Plans and Index Tuning: To optimise query cost metrics, examine execution plans, identify expensive table or index scans, create suitable clustered and non-clustered indexes, and update statistics. ETL Architecture & Integration Pipelines: To transfer and transform data between operational databases and analytics stores, design, script, and oversee data integration workflows and ETL processing runs. Focus Skills: Mastery of ANSI SQL dialects, window functions, relational algebra, and procedural extensions (such T-SQL or PL/pgSQL) at the expert level. Execution Plan Analytics & Optimisation: Extensive technical expertise in identifying memory grants or parallel processing bottlenecks, examining database buffer pools, and interpreting graphical execution plans. ETL Engineering & Data Plumbing: Practical expertise in handling data type mapping across various platforms, balancing batch sizes during heavy loads, and managing transaction checkpoints. Comprehensive knowledge of ACID attributes, transaction boundaries, savepoints, and the trade-offs between Read Committed Snapshot Isolation settings is necessary for database isolation and transaction logic. Apply now to become an integral part of our growing team! With Regards, HR - Maria