Top SQL Jobs in Hyderabad

Design, build, and deploy AI/ML and Generative AI solutions for enterprise use cases. Build and maintain end-to-end ML pipelines, deploy models to production, and implement monitoring, observability, and model-drift detection. Work with APIs, vector databases, embeddings, and RAG-based applications, and collaborate with cross-functional teams to optimize scalable AI deployments.

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Validate AI voice bot functionality by creating/executing test cases from business documents, running functional/regression/integration/API tests, verifying conversational flows and intent recognition, supporting automation efforts, managing defects, and assisting production validation and release activities.

Lead design, build, deploy, and monitor enterprise-scale AI/ML and Generative AI systems. Own end-to-end ML pipelines, scalable inference, vector search and RAG applications, MLOps, observability, governance, CI/CD, model lifecycle management, and production support. Mentor teams, collaborate with stakeholders, and optimize AI systems for scalability, latency, reliability, and cost.

Supports AI and analytics discovery by analyzing operational data and process flows, identifying inefficiencies, assessing AI/ML use cases, and generating business insights. Responsibilities include data exploration, analytical modeling, process mining, dashboard and visualization development, data-readiness assessment, documentation of assumptions and limitations, and collaboration with data scientists, business analysts, consultants, and architects. Healthcare domain experience is required.

Supports the analysis, design, testing, troubleshooting, documentation, and lifecycle management of enterprise integration and automation solutions. Works with APIs, microservices, databases, B2B and supplier integrations, EDI, workflow automation, and data quality. Collaborates with stakeholders, architects, and developers to gather requirements, configure solutions, perform quality assurance, manage risks, resolve incidents, and maintain integration components and documentation.

Provides Tier 1–3 technical support and site reliability engineering for a global data and graph software product. Responsibilities include troubleshooting application, database, and infrastructure issues; incident response; monitoring system health; database optimization; automation; documentation; customer communication; onboarding; and collaboration with development teams. The role also mentors junior engineers and supports reliability improvements, production uptime, and reduced recurring incidents.

Design, develop, test, and maintain Java/J2EE backend and frontend features. Build UI components with HTML, JavaScript, and CSS; write and optimize SQL queries; perform code reviews and unit testing; troubleshoot production issues; collaborate with QA, product, and engineering teams; and contribute to technical design and documentation.

Design, develop, test, and maintain Java/J2EE backend and frontend features. Build UI components with HTML, JavaScript, and CSS; optimize SQL and relational database interactions; participate in code reviews and unit testing; troubleshoot production issues; collaborate with QA, product, and engineering teams; and lead technical design discussions and documentation.

Leads an offensive security team within an MSSP, overseeing attack surface discovery, application security testing, red teaming, adversarial simulations, vulnerability assessments, and ransomware resilience testing. Develops cybersecurity services, guides research and automation, and presents technical findings to executives. Requires deep expertise in offensive security, cloud and container security, CI/CD testing, exploit development, attack surface management, and security tooling, plus substantial leadership experience.

Develop and lead GIS data migration strategies for utility-sector clients, including extraction, cleansing, transformation, loading, validation, and integration. Build ETL workflows using FME, ArcGIS, and Python; manage enterprise spatial databases; design Utility Network data models and validation rules; document processes; support training; and mentor distributed teams.

Leads QA strategy and quality engineering across web, mobile, API, and backend systems. Owns test planning, automation, risk assessment, defect triage, release sign-off, quality metrics, and end-to-end data validation. Partners with Product and Engineering teams to improve testing practices, secure sensitive healthcare data, and drive reliable releases. Mentors QA engineers, reviews test assets, and promotes shift-left quality across the software development lifecycle.

Develop and maintain enterprise web applications using C#, ASP.NET, .NET Core, Angular, and SQL. Build REST APIs and microservices, optimize databases, implement CI/CD pipelines, and deploy containerized applications to cloud platforms. Collaborate with product, architecture, QA, and other teams while contributing to code reviews, debugging, performance optimization, documentation, and software quality improvements.

Business Analyst responsible for gathering requirements, creating user stories and process documentation, analyzing product performance with SQL and analytics tools, and supporting Agile product delivery. The role collaborates with Product, Engineering, Design, QA, and Operations teams, conducts UAT and QA validation, tracks defects, supports API integrations, and improves logistics and marketplace workflows using business metrics and stakeholder insights.

Support daily middle-office operations by resolving trade breaks, maintaining investment products and trading data, processing trades, supporting P&L queries, and coordinating confirmations and settlements. The role also involves client onboarding to the Arcesium Platform, addressing operational issues, contributing to work allocation, mentoring new team members, and supporting night operations.

Support daily middle-office operations by resolving breaks, processing and reviewing trades, maintaining investment products, addressing P&L queries, and ensuring confirmations and settlements are completed accurately. The role coordinates with Trade Accounting, Operations, and front-office teams, supports client onboarding on the Arcesium Platform, contributes to work allocation, mentors new team members, and assists with night-operations deliverables.

Manage data migrations between platforms, including planning, data mapping, cleansing, validation, reconciliation, issue resolution, documentation, and post-migration support. Collaborate with clients, business units, and engineering teams to mitigate risks and meet delivery timelines. Produce reports, dashboards, and presentations on migration metrics while leading junior staff and communicating investigations and outcomes effectively.

Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Develop and enhance database-driven product features, provide post-go-live production support, write and optimize complex SQL and stored procedures, perform query performance tuning, and design/maintain triggers, indexes, and views within RDBMS environments.

Develop and maintain scalable ETL and financial systems supporting forecasting, invoicing, billing, and reporting. Build Python and Databricks solutions, write complex SQL, implement GitHub Actions CI/CD workflows, and apply BDD, TDD, and ATDD practices. Collaborate on finance operations systems, ensure code quality, and support ERP-related processes including Great Plains. Java or .NET experience is beneficial.

Design, build, and maintain high-performance RESTful APIs with Node.js/Express. Manage and optimize relational database schemas and queries, write unit and integration tests, troubleshoot production issues, improve system scalability, and participate in code reviews and cross-team feature development.

Lead UI architecture and design of scalable Vue.js applications, build design systems and shared component libraries, mentor teams, ensure code quality, and contribute as a full-stack developer with emphasis on performance and developer workflows.

Analyze multi-dimensional data to build churn and propensity models, lead campaign analytics, support product and risk teams with cohort and funnel analysis, drive end-to-end analytical projects, and mentor junior analysts to improve retention and conversion.

Lead analytics function: define data strategy, ensure data quality, perform advanced statistical and ML analysis, build dashboards (Tableau/Superset/Power BI), provide actionable insights to stakeholders, collaborate across growth/risk/CRM/product, and drive continuous improvement in analytics practices.