Top SQL Jobs in Hyderabad

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

The Data Analyst will collect and analyze large datasets, create dashboards and reports, and communicate insights to stakeholders with varying technical expertise.

The QA Engineer will develop and implement test strategies, conduct various types of testing, and ensure software quality throughout the development lifecycle.

The Data Engineer is responsible for developing orchestrated data pipelines using technologies like DBT and Airflow, ensuring data accuracy for business decision-making.

Design and maintain microservices and data solutions, collaborate on AI/ML model integration, ensure system performance, and support engineering culture.

The Engineering Manager will oversee software engineering teams with a focus on Java and cloud technologies, ensuring effective backend integrations and leadership.

The SEO/AEO Specialist will optimize digital presence using AI tools, perform audits, track performance metrics, and collaborate with teams to enhance search visibility.

The Technical Lead will design and deliver Salesforce Financial Services Cloud solutions, lead a development team, mentor staff, and engage with clients to meet their needs.

As an Associate Oracle Technical Consultant, you will enhance Oracle ERP applications by developing integrations, reports, and collaborating with functional teams to translate requirements into technical solutions.

Lead the development and execution of product roadmaps, analyze market trends, collaborate with cross-functional teams, and deliver impactful solutions in Healthcare-FinTech.

As a Senior Data Scientist, you will build, deploy, and optimize machine learning models, leveraging big data technologies and cloud platforms to drive data-driven solutions.

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

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

The Senior Software Analyst (Data Engineer) develops and manages data pipelines and cloud-based solutions using AWS, optimizing data accessibility and quality while ensuring security and collaboration across teams.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

The Senior Data Scientist will lead the development of ML solutions focusing on predictive modeling and MLOps, utilizing Snowflake and advanced algorithms to drive business innovations.

The Netsuite Developer will design, develop, and maintain software solutions, collaborating with teams and participating in Agile development processes to ensure high-quality product delivery.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

The role involves developing and maintaining applications using Spring Boot and Kotlin/Java, creating RESTful APIs, collaborating with teams, and performing testing and debugging.

Design, develop, and maintain web applications; collaborate with teams, conduct testing, and support junior developers while utilizing modern frameworks and technologies.

Design, develop, and maintain applications using Java and Spring Boot; create RESTful APIs; participate in Agile processes and collaborate with cross-functional teams.

The Business Analyst will understand SaaS business models, onboard customers, manage data pipelines, and analyze customer KPIs using SQL.

Design and execute automated testing processes for data pipelines using Azure Databricks and Azure Data Factory, focusing on ETL validation and quality assurance while collaborating with development teams.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.