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Top SQL Jobs in Hyderabad
As a Senior Software Engineer, you will collaborate on developing AI-driven solutions for telemetry data analysis and user-friendly interfaces. Key responsibilities include creating and maintaining documentation, working with product managers, and optimizing system performance. You will guide junior developers, implement automated testing, and ensure security compliance of software systems.
As a Principal Software Engineer, you'll lead engineering projects including new products and features while collaborating with cross-functional teams. You'll review project requirements, develop code, create tests, and ensure timely delivery, all while focusing on user-centric solutions. The role requires extensive mobile development experience and a strong understanding of data-driven decision making.
The Data Engineer will design, develop, and implement advanced data-driven solutions for advertising challenges. They will lead the development of data processing pipelines, write efficient code in Python and SQL, and collaborate with teams to improve data modeling and engineering solutions while keeping up with industry advancements.
The role involves evaluating and improving business processes through automation, collaborating with team members to develop solutions, conducting workshops, and maintaining business procedures. You will also mentor junior staff and stay updated on automation advancements. A focus on delivering high-impact customer solutions is essential.
Provide technical support for data platform, ML Ops support, incident management, performance monitoring, automation, and collaboration with cross-functional teams. Bachelor's or Master's degree in computer science or related field required. Strong understanding of data management principles and experience with cloud platforms and scripting languages.
As a Software Engineer at Boomi, you will develop software based on customer needs, collaborate with Agile teams, guide the software lifecycle, resolve customer issues, and mentor other engineers while researching new technology features.
As a Senior Software Engineer II, you will lead technical operations, customize solutions, troubleshoot production issues, and collaborate with cross-functional teams. You will also assist in training new employees and participate in design and code reviews to enhance customer experience.
As a Senior Software Engineer, you will lead a team in enhancing and maintaining an Equity Management SaaS Application, implementing features, participating in Agile SDLC, and ensuring high code quality through mentoring and code reviews.
The Team Lead, Data Conversion is responsible for leading a team in data conversion projects, collaborating with clients, overseeing complex data conversions and integrations, and ensuring timely delivery of project objectives. The role entails facilitating client engagements, implementing best practices, and training team members.
The HL7 Interface Software Engineer will develop, test, and maintain healthcare data interfaces, focusing on HL7 and other messaging formats. Responsibilities include troubleshooting issues, collaborating with teams, and ensuring data accuracy through interface validation and testing. A solid background in healthcare IT and integration technologies is essential for success in this role.
The Senior Manager, Engineering will lead a high-performance engineering organization, scaling teams and establishing a product roadmap. Responsibilities include providing technical guidance for building enterprise software and fostering a culture of innovation. The role requires strong leadership to develop future engineering leaders and partner with stakeholders for key initiatives.
As a DevOps Engineer at Bottomline, you will be responsible for deploying, maintaining, and upgrading live production applications, enhancing automation infrastructure, implementing monitoring solutions, and collaborating with the team to tackle complex challenges in security and development.
The Principal Solution Architect will develop and maintain architecture for partner integrations, collaborate with stakeholders, design robust solutions, and oversee deployment. Responsibilities include troubleshooting integration issues, maintaining documentation, and proposing innovative solutions to enhance integration efficiency.
The Data Engineer will design, develop, optimize, and automate data pipelines, ensuring the delivery of high-quality data for business intelligence and analytics. They will collaborate with data scientists, address data-related issues, and explore innovative technologies within the data engineering domain.
As a Senior Back-End Developer, you will be responsible for building integrations for Jibble 2.0 API and improving existing features while ensuring code quality. Collaboration with product managers, designers, and front-end developers is essential to enhance the user experience and implement new features effectively.
As a Senior AI Technical Content Developer at Udacity, you will create hands-on learning experiences focused on artificial intelligence, collaborating with experts to develop high-quality online courses. Responsibilities include monitoring AI trends, developing educational content, coaching authors, and ensuring effective learning outcomes using data feedback.
The Senior Database Administrator will be responsible for managing Oracle EBS databases, ensuring production uptime, performance tuning, backup/recovery, and security. Key tasks include providing 24/7 support, collaborating with team members on technical standards, and consulting on SQL coding. The role requires leadership skills, strong analytical abilities, and effective communication with clients and IT management.
The Data Engineer will design, develop, and optimize data pipelines for ETL processes, manage cloud infrastructure in AWS, collaborate on data modeling, optimize performance, automate workflows, ensure data quality, and provide troubleshooting support. The role involves working extensively with large datasets and cloud services to build scalable data architectures.
As a Senior QA Engineer, you will develop and execute test plans, conduct manual and automated testing of web applications, APIs, and large language models (LLMs), document bugs, collaborate with developers, and enhance QA processes while maintaining test documentation.
The Tech Lead SQL will architect, design, and develop complex SQL Server databases. Responsibilities include optimizing performance, managing Azure SQL Databases, leading technical teams, and implementing security measures while ensuring compliance with quality policies.
Lead and manage performance QA testing efforts in a Cloud Native environment, creating performance test plans and executing strategies, especially with JMeter. Collaborate with project teams, define performance objectives, and mentor team members while ensuring adherence to testing standards.
The Quality Assurance Tester IV will be responsible for data testing, validation, and quality assurance. This includes designing and executing testing strategies, performing data analysis using SQL, and maintaining automated data validation scripts. Proficiency in Microsoft Excel and Power BI, as well as ETL processes, is important for ensuring data accuracy.
The Sr. Staff Software Engineer will lead the development of solutions, mentor junior engineers, and collaborate with cross-functional teams to enhance applications. Responsibilities include ensuring code quality, managing technical debt, and staying informed on technology trends.
The Senior Partner Solutions Architect will guide customers and partners in designing and building scalable systems using MongoDB. Responsibilities include advising on reference architectures, ensuring technical alignment with customer needs, mentoring pre-sales team members, and driving customer demand. The role requires strong technical skills, presentation abilities, and experience in enterprise software sales.
The Data Analyst/PowerBI Engineer will analyze data and generate insights for clients using Power BI. Responsibilities include designing dashboards, conducting analysis, collaborating with teams, ensuring data quality, and presenting findings. Staying updated with data analytics trends is also important.
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