Develop, test, maintain, and optimize robust database queries, store procedures, triggers, views, and automation scripts to support data processing solutions.- Data Operations (ETL/ELT) : Extract, transform, validate, and load high-volume data across multiple database environments, ensuring high performance, integrity, and operational consistency.- Performance Tuning : Troubleshoot database and scripting performance bottlenecks, optimize SQL execution plans, write efficient indexes, and re-engineer inefficient legacy scripts.- Process Automation : Leverage Python and shell/batch scripting to build end-to-end data pipelines, schedule batch processes, and automate repetitive data management tasks.- Partner closely with software engineering, data analytics, product management, and business teams to understand data requirements and translate them into efficient technical solutions.- Data Quality & Governance : Establish validation rules, audit checks, and error-handling routines within scripts and database jobs to ensure high data accuracy and reliability.- Perform root-cause analysis for production incidents related to databases or scripts,



applying timely resolution and preventative fixes.Technical & Professional Qualifications :- Database Expertise : 5 - 7 years of hands-on experience with major relational database management systems (RDBMS) such as PostgreSQL, MySQL, MS SQL Server, or Oracle.- Advanced SQL : Expertise in writing complex SQL queries, analytical functions, CTEs, stored procedures, functions, and database views.- Scripting Languages : Strong proficiency in scripting languages (Shell/Bash, PowerShell) for task automation and basic-to-intermediate proficiency in Python for data processing and automation scripts.- Data Modeling & Architecture : Valuable working knowledge of relational database schemas, normalization, indexing strategies, and database design principles.- Excellent logical reasoning, debugging skills, and the ability to diagnose complex data anomalies and scripting issues.Preferred / Good-to-Have Skills : - Modern Cloud Data Platforms : Awareness or hands-on experience with cloud data warehousing solutions like Snowflake, Databricks, or AWS Redshift.- Scheduling Tools : Experience using job schedulers or orchestrators (e.g.,

📌 Database Developer (Oracle & SQL) (Bengaluru)
🏢 Anlage Infotech (I
📍 Bengaluru