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 Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

The Senior Full-Stack Engineer will design and develop AI-powered solutions, integrating with ERP systems and leading full-stack development of web applications.

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

Looking for a Senior Test Analyst to ensure high-quality data solutions through testing, automation, and collaboration with stakeholders in a data-focused environment.

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

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

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.

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

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.

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

The Senior Software Engineer will lead technical delivery, engage with business stakeholders, and ensure the integration of solutions with OpenText Exstream. Responsibilities include guiding junior members, managing projects, and maintaining compliance with industry standards.

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

As a Technical Pre-Sales Specialist, you will lead technical discovery, configure demos, and collaborate with teams to translate customer challenges into AI-driven solutions.

Design, develop and implement front-end and back-end solutions, collaborate with project managers, ensure quality standards, and enhance existing systems.

Design, develop, and maintain full-stack applications, integrate AI workflows, develop microservices, optimize performance, and manage deployment pipelines.