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 Onboarding Analyst will analyze data, maintain business processes, manage billing analysis, and collaborate using Agile/SCRUM practices to enhance workflows and stakeholder communication.

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.

Develop and maintain web applications and handle data engineering tasks using Azure technologies and various programming languages.

The Quality Analyst 2 role involves analyzing requirements, developing test plans, executing tests, and documenting results within an agile team.

The Configuration Analyst will maintain business rule engines, conduct billing analysis, develop process roadmaps, and provide analytics support to stakeholders.

As a Senior Data Engineer, you will support and enhance Azure-based Data & Analytics solutions, troubleshoot issues, and improve existing solutions while mentoring and developing your skills.

The Marketing Cloud Developer designs and manages solutions using Salesforce Marketing Cloud, integrating customer data, automating workflows, and optimizing campaigns for improved engagement and performance.

The Software Engineer will design and maintain backend services, optimize APIs, manage databases, and collaborate with various teams to deliver high-quality software solutions.

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

The QA Engineer will lead a QA Automation team, establish best practices for testing, integrate tests into CI/CD pipelines, and ensure quality in product delivery while mentoring staff and managing complex testing processes.

The QA Engineer will design test strategies for AI applications, develop automated test frameworks, and conduct testing across multiple environments, ensuring quality and reliability for Fortune 500 clients.

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.

Seeking a Java Backend Lead Developer to design microservices, manage cloud solutions in Azure, and mentor junior developers while ensuring best practices.

Trading Systems Engineers provide critical systems support for foreign exchange, ensuring high availability and reliability while troubleshooting and managing client inquiries.

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

The QA Engineer will ensure software quality through manual and automated testing, defect management, and collaboration with development teams to improve 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 role includes designing, developing, and maintaining scalable full-stack applications for a healthcare insurance platform, focusing on performance and compliance.

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.

As a Senior Data Engineer, you will architect security data ecosystems by designing data lakehouse architectures, implementing real-time streaming pipelines, and enabling AI/ML features. You will manage data ingestion patterns and ensure system integrity through automation and observability.

As a Full Stack Developer, you will design, develop, and maintain software solutions, collaborate with teams, conduct testing, and mentor junior developers.