Top SQL Developer Jobs in Bangalore

The SQL Developer will optimize and maintain MS SQL databases, improve T-SQL queries, and support online services for Rockstar Games.

The Senior Database Developer will design, optimize, and maintain Aurora MySQL databases in AWS, collaborate on data models, and ensure database performance and security.

Develop, test, and maintain Oracle SQL and PL/SQL code, design solutions, troubleshoot data issues, and optimize database performance for various applications.

As a Software Engineer at Visa, you will develop and test scalable solutions impacting global payments, improving reliability, and collaborating in agile teams.

Develop scalable applications, provide technical leadership, and collaborate with clients and engineers. Focus on API design and big data technologies.

The Full Stack Developer designs and delivers scalable AI-driven and data-centric applications, develops frontend and backend systems, and collaborates with data teams.

The Data Quality Engineer enhances data governance for the Data Lakehouse platform, ensuring data quality across its Bronze, Silver, and Gold layers. Responsibilities include building validation frameworks, defining data certification workflows, ensuring semantic consistency for BI, and supporting ML readiness.

The role requires a Data Engineer with over 4 years of experience in SQL and Python, and skills in Spark, Airflow, and GCP.

As an Infrastructure Engineer, you will manage and develop infrastructure technology for cloud environments, ensuring it meets security and operational needs. You'll collaborate with stakeholders, support engineered products, and implement infrastructure as code solutions.

The role involves writing and optimizing complex SQL queries, developing Python scripts for automation, and ensuring data accuracy and integrity while supporting business reporting and data analysis.

Own and support SQL, Kafka, and AMQ systems: design and optimize schemas and queries, operate and scale Kafka/AMQ clusters, build producers/consumers, ensure reliability, monitoring, and integrate event-driven architectures across teams.

Design, implement, monitor, and optimize MongoDB data models, clusters, and queries. Maintain high-availability, backups, sharding, and integrations with messaging platforms (Kafka/AMQ). Build data pipelines, observability, and collaborate with cross-functional teams to integrate MongoDB into platform solutions.