Top SQL Jobs in Hyderabad

Design, develop, and maintain automated UI and API testing frameworks using Selenium, Java, REST Assured, TestNG, and JUnit. Execute functional, regression, integration, and end-to-end testing across AWS-hosted environments. Integrate tests into CI/CD pipelines, validate APIs and databases, troubleshoot defects, and collaborate with development and QA teams to improve software quality and test coverage.

Develops and maintains automated UI, web service, and ETL tests using Java, Selenium WebDriver, Rest Assured, TestNG, and database queries. Responsibilities include regression automation, defect management, incident troubleshooting, root-cause analysis, test reporting, manual and automated test scripting, and collaboration with development teams, vendors, and leadership across Agile and Waterfall environments.

Manage market data licensing, renewals, usage reporting, entitlements, and compliance for exchanges, data providers, brokers, and partners. Maintain licensing records, submit recurring reports, enable or disable data feeds, respond to audits, support licensing inquiries, and improve or automate operational processes. The role requires strong organization, contract interpretation, spreadsheet skills, attention to detail, and cross-functional collaboration across legal, finance, sales, engineering, and market data teams.

Provide technical customer support for managed database solutions in Linux/Unix environments. Troubleshoot SQL performance, distributed systems, networks, logs, and infrastructure; manage tickets, SLAs, on-call rotations, root-cause analyses, and corrective actions. Create documentation, knowledge-base content, support tools, and customer deployment materials. Partner with Engineering, assist with onboarding and installations, represent key customers’ needs, and improve support processes and product quality.

Provides technical architecture and delivery expertise for Oracle Cloud ERP and HCM implementations and support. Responsibilities include requirements gathering, solution mapping, configuration, integrations, data conversions, reporting, security, testing, training, cutover, and post-go-live support. The role develops technical designs, resolves complex issues, oversees quality, and leads full lifecycle Oracle Cloud projects across finance, procurement, payroll, benefits, workforce management, and related modules.

Develop and support Oracle Fusion ERP technical solutions across implementations and production environments. Responsibilities include ERP development, REST/SOAP integrations, reporting with BI Publisher and OTBI, data conversion and migration, SQL development, troubleshooting, documentation, testing, and technical support. The consultant collaborates with functional consultants, business users, integration teams, vendors, and architects; participates in SDLC activities; estimates effort; manages technical deliverables; and mentors junior consultants.

Lead the Databricks machine learning lifecycle from experimentation through production. Configure workspaces, clusters, policies, workflows, CI/CD, MLflow model deployment, monitoring, and environment controls. Convert data science notebooks into reliable production pipelines, optimize Spark and Delta Lake workloads, troubleshoot failures, and establish standards and runbooks. Collaborate with data scientists, ML engineers, platform teams, and healthcare and pharmaceutical stakeholders.

Build quantitative models, machine learning pipelines, data pipelines, and investment analytics supporting equity research. Partner with research analysts to convert valuation, financial statement, earnings, and sector methodologies into scalable models. Source and engineer financial data, develop predictive and risk models, explore investment signals, productionize models, and document methodologies. Communicate findings to technical and business stakeholders while applying statistical, machine learning, NLP, and quantitative finance techniques.

Plans, develops, automates, and executes functional, non-functional, performance, regression, and security tests for web products and APIs deployed on AWS. Tests API gateways, error handling, integrations, and performance; documents test plans and results; identifies defects and corrective actions; and collaborates with developers, DevOps engineers, and stakeholders in an Agile environment to improve software quality, security, scalability, and reliability.

Own the Postgres product experience at Supabase, including database versions, upgrades, maintenance, observability, extensions, security, and customer communications. Define requirements, success metrics, roadmaps, and prioritization while partnering with engineering, support, and go-to-market teams. Engage developers, improve reliability and trust, and help make database operations predictable for customers ranging from indie developers to enterprises.

Designs, builds, and deploys production AI systems, including LLM pipelines, RAG applications, agentic workflows, data platforms, APIs, and user-facing interfaces. Responsibilities include evaluating models, creating guardrails and observability, processing large-scale behavioral data, deploying cloud-based services, troubleshooting production systems, and iterating based on user behavior. The role requires full-stack development, strong Python and ML fundamentals, product thinking, and effective remote collaboration.

Designs and owns scalable enterprise data platforms across ingestion, storage, processing, serving, and analytics. Responsibilities include cloud data lake, lakehouse, and warehouse architecture; data modeling; governance, security, quality, metadata, and lineage standards; architecture reviews; technology selection; cost optimization; team guidance; stakeholder collaboration; and presales support. Requires strong Snowflake or Databricks, cloud, SQL, data modeling, programming, Spark, and ETL/ELT expertise.

Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Snowflake, Databricks, and cloud platforms. Develop transformation and orchestration layers, implement data quality monitoring and alerting, optimize performance and cloud costs, and collaborate with architects, analysts, and data scientists. The role also requires data warehousing, dimensional modeling, CI/CD, version control, and documentation practices.

Design and own enterprise test automation architecture, release reliability, AI-assisted quality frameworks, CI/CD merge gates, and validation systems. Develop comprehensive API, UI, performance, security, and financial workflow testing for trade finance products, including invoice discounting, factoring, and supply chain finance. Partner with engineering and product teams to promote shift-left quality, validate data integrity, and ensure software meets reliability, security, and correctness standards before production.

Own GTM strategic planning across territory design, segmentation, target setting, and capacity planning. Build planning data systems using HubSpot, BigQuery, Hex, and Hightouch; translate company priorities into field execution; define performance metrics; lead planning tooling and process improvements; and collaborate with Sales, Success, Marketing, Finance, Partnerships, Product, Talent Acquisition, and GTM Engineering. The role requires strong SQL skills, product-led growth knowledge, and experience with revenue operations or sales strategy in B2B SaaS.

Build and own backend systems for the go-to-market team, including data pipelines, CRM integrations, internal services, signal automation, lead scoring, and AI agents. Design reliable data models and production workflows using Python and SQL, while managing deployment, monitoring, error handling, and maintenance. Collaborate closely with Sales, GTM leadership, and Engineering to deliver systems that reduce manual work and improve pipeline generation.

Build and maintain the company’s central go-to-market engineering system. Develop Python and SQL data pipelines, CRM integrations, signal-based sales automation, AI workflows, and API/webhook integrations. Ensure production reliability through scheduling, monitoring, error handling, and debugging. Partner closely with Sales and GTM leadership to identify bottlenecks, prioritize solutions, and deliver systems that reduce manual work and improve pipeline generation.

Analyzes sales, pricing, margins, and commercial performance across markets, suppliers, partners, and business lines. Identifies root causes behind metric changes, develops pricing recommendations, validates data, and supports implementation with commercial teams. The role requires large-dataset analysis, advanced Excel, basic SQL, clear reporting, stakeholder communication, and decision-making regarding price discrepancies and discounts.

Design, develop, and manage scalable data solutions using Azure Cosmos DB and SQL. Build ETL pipelines, optimize database performance, integrate data systems, implement security practices, troubleshoot data issues, and document technical processes. Collaborate with application developers, data scientists, and cross-functional stakeholders to deliver data solutions. The role requires strong Azure data services, SQL, NoSQL, and programming experience, with Snowflake and cloud or big data knowledge preferred.

Develop and maintain custom ERPNext and Frappe applications, including DocTypes, workflows, reports, dashboards, print formats, integrations, and APIs. Diagnose bugs, improve performance, maintain existing customizations, and manage deployments through Git and staging environments. Use and review AI-generated code for implementation, debugging, testing, refactoring, security, and maintainability. Communicate progress and clarify requirements while supporting ERPNext workflows and related infrastructure.

Own the company’s growth engine across acquisition, activation, conversion, retention, monetization, and lifecycle marketing. Lead paid campaigns, SEO/ASO, referral programs, pricing experiments, A/B testing, analytics, and funnel optimization. Partner with executive and product leaders on growth initiatives, build dashboards and event taxonomies, and mentor a team of growth specialists. The role targets significant user, retention, and recurring revenue growth while requiring strong SaaS growth experience and data expertise.

Build Java and Spring Boot REST APIs and microservices while integrating GPT and Claude into production agentic AI workflows. Develop tool-calling agents, planning loops, memory, guardrails, evaluations, tracing, and observability. Write tested code with JUnit and Mockito, work with SQL, MongoDB, and message queues, debug production issues, participate in reviews, and collaborate with senior engineers on client-facing products.

Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, React JS, REST APIs, SQL, microservices, cloud platforms, and CI/CD practices. Responsibilities include architecting backend services, building responsive interfaces, managing databases, deploying applications, conducting testing, and performing code reviews. The role requires extensive full-stack development experience and strong expertise in modern software engineering and DevOps methodologies.

Develop and maintain scalable Python backend services using Flask and FastAPI, optimize SQL databases, and manage Azure cloud infrastructure. Integrate vector databases, MCP protocols, and LLM servers to support AI-driven capabilities. Collaborate on UI integration, troubleshoot technical issues, and deliver reliable solutions throughout the software development lifecycle.

Lead the strategic architecture and end-to-end delivery of scalable AI and generative AI solutions. Design backend systems with Python, FastAPI, SQL, and Docker; develop RAG pipelines, AI agents, prompt and context strategies using LangChain and LangGraph; collaborate on React frontends; and provide technical leadership and mentorship to engineering teams.