Top SQL Jobs in Hyderabad

Responsible for the setup, integration, and maintenance of Actimize SAM systems, developing SQL queries, and collaborating with other teams to optimize AML processes.

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.

As a Senior Java Developer, you will contribute to all development facets, focusing on software engineering practices and impacting STC health and clients.

The role involves collecting and analyzing market data, building forecasting models, maintaining databases, and ensuring data integrity for strategic insights.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

The Full Stack Engineer will design, code, test, and deploy web applications using Angular or React, along with .NET and Node.js for backend. Responsibilities include optimizing SQL queries, integrating Azure microservices, and engaging in Agile methodologies within a remote environment.

The Data Analytics Specialist will analyze datasets, develop dashboards, collaborate with teams, and optimize backend analytics systems. The role requires strong analytical skills, technical expertise, and experience in marketing analytics and BI tools.

As a QA Automation Engineer, you will ensure quality across IT projects through manual and automated testing, writing test plans, and collaborating with various departments.

Responsible for leading a team of engineers to design, develop, and maintain full-stack software applications, ensuring scalability and quality. Collaborate with cross-functional teams and support ongoing technical projects, while mentoring team members and improving development processes.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

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

The Solutions Engineer will develop AI agents, configure automations, lead technical onboarding for enterprise customers, and deliver BI reports to enhance customer success.

The role involves designing web applications using Java microservice architecture, enhancing case management systems, and providing technical guidance in a collaborative environment.

Seeking an experienced IFM + Java Developer to build, enhance, and maintain financial applications, ensuring compliance and optimizing performance in a regulated environment.

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.

Looking for a Full Stack Developer with experience in Java, Spring Boot, React JS, and Microservices to develop scalable web applications and ensure smooth CI/CD processes.

The Sr Full Stack Developer will design, develop, and deploy applications using Java and React JS, focusing on microservices and CI/CD processes.

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.

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.

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

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.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.