Top SQL Jobs in Hyderabad

Design and implement data models from business requirements. Develop PL/SQL packages, procedures, and complex SQL queries. Work onsite at Dell Hyderabad; participate in face-to-face interviews and meet short notice-period constraints.

Serve as a technical product-facing data engineer translating product requirements into build-ready engineering artifacts. Partner with product, architecture, and platform teams to design and validate data models, SQL queries, pipelines, APIs, and data quality checks. Contribute hands-on to schema definitions, metadata, pipeline validation, automation, and observability to enable reliable cloud data platform delivery and accelerate engineering execution.

Design, develop, and execute performance, load, stress, endurance, and spike tests (Apache JMeter). Analyze application, database, and infrastructure performance; identify bottlenecks. Integrate tests into CI/CD, monitor with APM tools, produce reports with root cause analysis and recommendations, and collaborate with dev/ops teams to validate scalability and reliability.

Design, build, and maintain Playwright TypeScript UI automation frameworks; create and run API and gRPC automated tests; perform database validation with SQL; integrate tests into CI/CD; participate in Agile ceremonies; identify and track defects; collaborate with developers, product, and DevOps to improve test coverage and product quality.

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

Design, develop, and maintain Python applications using AWS services and Terraform. Build scalable solutions, optimize SQL queries, collaborate with cross-functional teams, troubleshoot defects, and ensure application performance and quality.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Lead end-to-end ERP implementations and financial integrations (Intacct, Xero, QuickBooks), design scalable charts of accounts and multi-entity consolidations, execute audit-ready data migrations, build API/middleware integrations with systems like Bill.com, Ramp, and Brex, streamline month-end close through automation, and produce SOPs and training to enable finance teams post-implementation.

Contribute to modernizing the EnCore ERP platform by developing modules with WiseJ, C#, ASP.NET and ADO.NET; design REST APIs; optimize SQL and stored procedures; apply design patterns; implement logging/monitoring; collaborate with US and local Product/QA/DevOps/UX teams; and participate in agile ceremonies.

Lead implementation and deployment of Amtech ERP solutions (cloud or on-prem), manage data migration and EDI integrations, provide technical training and go-live support, troubleshoot complex issues, mentor junior consultants, and contribute to sales and process-improvement initiatives while maintaining high billable utilization.

Own compensation operations for GTM teams: design scalable processes, administer plans, manage payouts, ensure governance and compliance, build reporting and field support, and partner cross-functionally with Legal, HR, Finance, and Sales.

Lead a global support and managed services team for an AI-powered materials science SaaS: own SLAs, triage escalations, drive incident resolution with Engineering, build reporting, coach and hire staff, and personally handle select high-priority technical tickets.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

Design, develop, and maintain scalable Java backend applications and microservices. Build and consume RESTful APIs, deploy with Docker and Kubernetes on GCP, write and optimize SQL, and collaborate with cross-functional teams to troubleshoot and improve performance.

Design, build, test, and debug complex applications following SDLC and QMS standards. Estimate effort, resolve high-complexity issues, recommend process improvements, enforce schedules, mentor junior staff, and ensure regulatory/QMS procedure compliance.

Work with clients to develop publishable data sources, interactive dashboards, and visualizations using Tableau and SQL. Translate business requirements into actionable reports and deliverables, ensuring accuracy across multiple business units and supporting client interactions.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

The Senior QA Engineer will lead automation strategies, build and maintain test suites, design API automation, integrate testing into CI/CD, and collaborate cross-functionally for quality assurance.

Own and scale the telemetry data pipeline from AWS IoT Core/GCP Pub/Sub through Kafka into TimescaleDB, improve platform performance and cost, evolve low-latency GraphQL/REST APIs and BFF, maintain observability (Grafana), enable safe live migrations, and drive production reliability and cross-functional delivery.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Analyze e-commerce, finance, growth, and operational performance to deliver actionable insights. Build forecasting and predictive models, evaluate projects and KPIs, support stakeholder decision-making, and foster a data-driven culture to improve business performance across departments.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Work on a TypeScript full‑stack product (Next.js/React) with an AI pipeline using Anthropic Claude, real‑time collaboration (Liveblocks/Yjs/Tiptap), and Cloud Run background jobs. Build UI features, improve AI agent prompts/schemas/output rendering, write and maintain unit tests, read docs to unblock yourself, and grow to own product slices.

Provide end-to-end technical support for Label Traxx, Batched, and Siteline, troubleshooting application, database, reporting, integrations, and Windows server issues; execute queries, analyze data and logs, support implementations/upgrades, create KB/SOPs, and collaborate with Product, Dev, and Customer Success teams.