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.

Seeking a Data Engineer to design and maintain scalable data pipelines using Databricks and Azure, focusing on ETL/ELT workflows, data quality, and collaboration with teams.

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.

Support implementation and customization of Oracle Fusion/ERP: develop reports, integrations, data migrations (FBDI/HDL), extensions, and troubleshoot performance while following coding standards and documentation.

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

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

Senior Quality Engineer on a Scrum product team for Crowe Account Confirmations. Designs and executes manual (≈60%) and automated tests, develops test cases and automation scripts, ensures traceability and quality strategy, tests web services and databases, collaborates with developers, and explores AI-enabled tools to improve test design and automation efficiency.

As an Azure Data Engineer, you will design and build scalable data solutions, implement data ingestion pipelines, and ensure data quality on Azure.

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

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 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.

Consultant role requiring expertise in Murex Data Mart, SQL programming, risk report development, and various capital market products with 5+ years experience.

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

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

Responsible for building and maintaining scalable data pipelines on Databricks. Collaborates with data scientists and stakeholders to ensure high-quality data for analytics and ML.

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.

The Data Analyst will analyze large datasets, build scalable queries and dashboards, and provide insights using Databricks, collaborating with stakeholders and data teams.

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.

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

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.