Top SQL Jobs in Hyderabad

Lead backend development using Java and Spring Boot, architect scalable microservices, oversee cloud deployment, and mentor junior developers.

Seeking an Azure Data Engineer with 6-8 years of experience to optimize data solutions using Azure technologies, focusing on ETL pipelines and data modeling.

The Lead AI QA Engineer will design intelligent test automation frameworks, mentor teams, oversee QA strategy, and implement AI-driven testing solutions.

Responsible for incident management, system monitoring, automation, and collaboration with teams to ensure platform reliability and compliance in a fintech environment.

The Site Reliability Engineer II is responsible for maintaining system reliability, managing incidents, monitoring performance, and driving automation initiatives in fintech environments.

Develop Salesforce applications using Apex, Visualforce, and Lightning, assist with deployments, and support Salesforce administration tasks.

Seeking an experienced developer for Oracle middleware to design, develop, and support complex integrations using SOA, OSB, and BPEL.

The Senior Human Capital Insights Analyst translates workforce data into insights, partners with HR stakeholders to inform strategies, mitigates risk, and presents data-driven recommendations.

The role involves leading a team to build marketing tools, manage product changes, and implement Salesforce Marketing Cloud solutions. A focus on continuous improvement and collaboration with business leaders and technology partners is essential.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

Lead transition of the data layer to enterprise-grade reliability: stabilize and scale multi-tenant databases, enforce compliance (ISO/SOC2), optimize PostgreSQL and MongoDB for SLA-backed and AI/ML workloads, design multi-region strategies, and establish governance and lifecycle automation.

Lead development and deployment of ML/AI models: analyze large datasets, build data pipelines, evaluate and optimize model performance, collaborate across teams, and communicate insights via visualizations.

The role involves developing and executing functional and database test cases, conducting end-to-end testing, and collaborating with teams to ensure software quality.

Design and develop Oracle E-Business Suite applications using Oracle Application Framework, focusing on customization, integration, and adherence to standards.

Responsible for implementing strategies to improve conversion rates through data analysis, experimentation, and collaboration with marketing teams. Requires a strong background in B2B SaaS marketing metrics and data-driven decision-making.

The Senior Data Platform Engineer will implement and maintain data platform infrastructure, optimize Databricks environments, and provide technical guidance to data engineering teams.

The Salesforce Architect will lead the design and delivery of complex solutions for financial services clients, manage project delivery, and mentor developers. Key responsibilities include technical leadership, project management, and collaborating with clients to define and implement efficient solutions on the Salesforce platform.

Provide technical support and troubleshooting across PostgreSQL/TimescaleDB and full platform stack. Diagnose and optimise database performance, analyze query plans, implement TimescaleDB features, collaborate with customers and engineering, and document solutions. Participate in occasional on-call coverage and help improve platform reliability.

Support the database operations team by executing SQL commands, managing database users, performing backups, scheduling jobs, and optimizing queries.

The Business Analyst will analyze complex datasets using SQL, create visualizations in Tableau, and utilize R and Python for statistical modeling to support business strategies.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

The Digital Marketing Manager will drive global pipeline growth through SEO, paid media, analytics, and AI tools, managing campaigns and optimizing performance to generate qualified leads by collaborating across teams and owning digital analytics.

The Senior Data Scientist will analyze large datasets, develop ML/AI models, collaborate with teams, and ensure data quality and compliance.

The Lead Data Scientist will analyze large datasets, develop ML/AI models, collaborate across teams, and ensure data quality and compliance.