Top SQL Jobs in Hyderabad

The QA Engineer will ensure software quality through manual and automated testing, defect management, and collaboration with development teams to improve processes.

The Implementation Manager ensures successful adoption of SaaS solutions, managing customer relationships post-sale, driving implementation and usage, and analyzing data to provide insights and support.

As a Senior Software Developer, you’ll contribute to all development phases, optimizing code, designing APIs, and ensuring high-quality implementations while adhering to best practices.

The Quality Assurance Analyst will validate software functionality, performance, and usability, conducting various tests and collaborating with cross-functional teams to ensure high-quality healthcare applications.

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

The role includes designing, developing, and maintaining scalable full-stack applications for a healthcare insurance platform, focusing on performance and compliance.

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.

Assist in designing and building data pipelines, write SQL and Python code for data manipulation, and support data extraction efforts.

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 Java Developer will design, develop, and maintain high-performance backend systems, participating in architecture discussions and mentoring junior engineers.

The role involves translating business needs into technical specifications, managing integrations using Microsoft technologies, and ensuring project deliverables meet business objectives.

The Salesforce Technical Lead is responsible for leading the design and delivery of complex Salesforce solutions, mentoring developers, and managing project delivery. They ensure best practices are followed and serve as the technical advisor for clients and the internal team.

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.

Analyze raw data, develop statistical and machine learning models, and implement data management and analytics procedures. Use Python and SQL for data analysis.

The Data Engineer will design and optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.

The Staff Software Engineer will innovate and develop AI-driven systems, mentor engineers, and collaborate on technical strategies for product innovation.

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

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

As a Senior Backend Data Engineer at H1, you will design and build backend services, working collaboratively to enhance data workflows and ensure optimal data delivery.

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

Lead AI-driven SalesTech product strategy, prioritize rapid MVP launches, collaborate with engineers, and translate chaotic sales pipelines into effective UX.

The role involves designing, developing, and maintaining backend services for an Identity Security Platform, collaborating with cross-functional teams, and optimizing performance and security.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.