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

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.

Design and implement enterprise performance management solutions using CCH Tagetik for financial consolidation, budgeting, planning, and reporting. Collaborate with finance stakeholders for requirements and support end-close activities.

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

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 Financial Crime System Implementation Manager leads implementation projects, manages teams, and oversees compliance solutions in the financial sector, focusing on anti-money laundering.

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.

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.

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.

The Software Engineer will design, develop, and maintain backend services, optimize APIs, collaborate with teams, and resolve technical issues.

Lead design and deployment of data pipelines, analytics platforms, and reporting frameworks on Azure and cloud platforms. Mentor teams, implement data governance, build ML/anomaly detection solutions for BSA/AML compliance, support presales and client engagements, and architect enterprise data warehouses and lakes.

The Data Engineer will manage data ingestion, perform quality control, support data science needs, and integrate third-party data for improved analytics at SkySpecs.

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

Design, develop, and maintain backend services and APIs using Java, build applications, and collaborate with various teams while ensuring code quality.

The Tech Operations Lead will provide technical support and incident resolution for applications, ensuring smooth operations and user satisfaction across the Alternatives business.