Top SQL Developer Jobs in Bangalore

Build and maintain responsive, high-performance React front ends; collaborate with UX and backend teams; integrate RESTful APIs; follow frontend best practices, testing, CI/CD, containerization, and observability within an Agile, AI-assisted development lifecycle.

Design, develop, optimize, secure, monitor, and maintain Azure SQL and SQL Server databases. Partner with product and application teams on schema, performance tuning, backup/DR, observability, cost optimization, multi-tenant patterns, and production troubleshooting. Define standards, participate in incident response and root cause analysis, and translate architecture and roadmap items into actionable backlog work.

Lead technical design, develop and deliver secure, high-quality production software. Drive team adoption and validation of AI-assisted development, automate remediation, improve operational stability, evaluate vendor architectures, and lead engineering communities of practice.

Lead SQL development and tuning on MS SQL Server (80%): write/optimize complex T‑SQL, design schemas, handle large tables, SSIS migrations, and resolve production performance issues. Maintain/extend legacy ASP/VB.NET apps and build features in C#/.NET and JavaScript (20%). Create/modify SSRS reports, collaborate with BAs, deploy via TFS/Azure DevOps/Git, support UAT, and document database objects.

Design, build, test, and maintain cloud-native, scalable microservices for a supply chain data platform. Translate requirements into user stories, participate in Agile ceremonies, triage and resolve incidents, collaborate with stakeholders, and improve reliability, security, and automation.

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

Develop and maintain Epicor products by building and enhancing backend and frontend applications, writing and unit testing code, deploying via CI/CD, adhering to specifications, and troubleshooting production software.

Lead administration and optimization of enterprise SQL Server (on-prem and Azure SQL) environments. Design scalable, secure databases, implement HA/DR and backup strategies, perform capacity planning and performance tuning, drive migrations to Azure PaaS, automate tasks with T-SQL/PowerShell, mentor DBAs, and act as primary escalation for critical production incidents while ensuring governance and compliance.

Design, develop, and maintain Oracle database systems and PL/SQL code. Optimize performance and availability, implement CI/CD with Jenkins, ensure security, perform backups/recovery, model data, troubleshoot issues, and mentor junior engineers.

Design and build end-to-end Tableau dashboards and visualizations. Perform strong SQL-based data analysis and collaborate with stakeholders. Communicate findings clearly; leverage Python and AWS skills as needed.

Develop and maintain data and ETL/ELT pipelines using SQL and Python. Work with Snowflake and AWS services (S3, Lambda, IAM, Step Functions, SNS, SQS, ECS, DynamoDB). Support data movement, and optionally contribute to DevOps/CI-CD, automation, and REST API integration.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

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

Design, develop, and maintain backend applications using C# and .NET. Build and optimize SQL/database solutions, debug and review code, collaborate with cross-functional teams, and mentor junior engineers to deliver reliable software.

Design, develop, and optimize complex PL/SQL/SQL scripts and Core Java backend services. Build and maintain RESTful APIs, tune Oracle databases for performance, review and modernize legacy code, and collaborate with product and cross-functional teams to translate requirements into scalable, secure solutions.

Design, develop, and optimize Oracle-based databases and PL/SQL; build and maintain Core Java backend services and RESTful APIs; lead requirements gathering; tune performance and ensure scalable RDBMS architectures; review and modernize legacy SQL and Java code.

Lead design, implementation, and operation of Azure-based data and integration platforms. Build and optimize SQL data solutions, Databricks processing, Dagster orchestration, and Apache NiFi ingestion. Implement CI/CD and DevOps automation, oversee Agile delivery, lead technical reviews, troubleshoot production incidents, and engage stakeholders. Produce architecture, deployment, and runbook documentation while driving standards, reliability, security, and cost-efficient design.

Provide application support including SQL/PLSQL query development and debugging, log and file investigation, SFTP handling, and observability with DataDog. Work with cloud technologies (AWS, S3, Kubernetes), follow SLAs/ITSM, and support batch schedulers (Control-M/Autosys). Rotate shifts for 16x7 coverage.

Design, develop, and maintain scalable Java-based web applications and REST/SOAP web services. Work with Spring Boot, Struts, ActiveMQ, and Oracle SQL/PLSQL. Perform system and component-level design, performance tuning, secure development, release/deployment, UNIX shell scripting, and mentor junior engineers while collaborating across teams.

Full-stack Java engineer responsible for API development in multi-layer architectures using Java and Spring, web services and messaging. Design and develop database schemas and write SQL/PLSQL in Oracle. Work with UI frameworks (Angular preferred), use Git and branching strategies, resolve cross-technology technical issues, and manage multiple tasks with strong analytical, communication, and organizational skills.

Build and maintain cloud-based data pipelines and ETL/ELT processes using Python, SQL, and Unix; design and optimize data warehouse solutions on Snowflake and cloud platforms; manage CI/CD pipelines; and produce dashboards and reports with Power BI to support analytics and business insights.

Design, develop, and coordinate end-to-end solutions with architects and tech leads. Support product release activities (development, QA, deployment), installation and post-install support. Troubleshoot, perform unit testing, support UAT, and document. Build solutions using PL/SQL, Snowflake, Python, AWS, Control-M, serverless frameworks, and relational databases.

Lead design, development, and operational excellence for high-throughput microservices on Azure. Own incident response, observability, CI/CD, and modernization of legacy systems. Mentor teams, drive architecture, and ensure scalable, secure, and highly available production systems.

Develop backend solutions using Python and SQL, leveraging libraries like Pandas. Apply object-oriented design and data structures. Collaborate and communicate effectively; familiarity with Agile, DevOps/CI-CD, AWS, web frameworks, and Snowflake is desirable.

Develop and maintain P&A solutions using Oracle SQL/PLSQL and Unix shell scripting. Work on assortment planning, merchandise financial planning, size/pack optimization, allocation, forecasting and replenishment. Collaborate with stakeholders and apply domain product expertise. Java or mainframe (DB2/COBOL) experience and Oracle RMS 14 knowledge are pluses.