Top SQL Jobs in Hyderabad

Build and maintain scalable full-stack web applications using React, TypeScript, and Node.js. Develop responsive interfaces, REST APIs, microservices, and event-driven services while optimizing performance, security, reliability, and scalability. Collaborate with product, design, and engineering teams, participate in architecture decisions and code reviews, and apply testing and engineering best practices. Preferred experience includes dashboards, RBAC, distributed systems, cloud platforms, containers, observability, caching, and message queues.

Own product instrumentation, event taxonomy, metrics, data pipelines, dashboards, experimentation, and predictive modeling. Build analytics for product and marketing decisions, then develop and deploy customer-facing LLM features and secure data-connected agents using retrieval, tool calling, and agent frameworks. Partner with engineering, marketing, product, and leadership to establish Quin’s data and AI foundations across IoT and safety products.

Design, develop, and maintain scalable Node.js backend systems, RESTful APIs, databases, and AWS cloud infrastructure. Manage MongoDB and SQL databases, monitoring, security, CI/CD, containerization, event-driven architecture, caching, and performance optimization. Collaborate with frontend, product, and DevOps teams to deliver secure, highly available services and resolve production issues.

Own Techdome’s go-to-market strategy and paid acquisition engine. Define customer segments, positioning, channel mix, and launches while managing Meta, Google, LinkedIn, and emerging-platform campaigns. Build funnels, tracking, analytics, testing, and reporting systems using tools such as GA4 and CRM platforms. Optimize budgets and performance against CTR, CPC, CPA, and ROAS, while leveraging AI for creative, copy, optimization, and reporting.

Administer and support IBM Cognos TM1 and Planning Analytics environments across development, QA, and production. Responsibilities include installation, upgrades, monitoring, security, backups, recovery, troubleshooting, performance tuning, deployments, and stakeholder support for planning and forecasting. The role also develops and maintains Tableau dashboards, optimizes data sources, manages refresh schedules, and documents operational procedures. Experience with PAW, scripting, cloud platforms, SQL, and relational databases is advantageous.

Build and own production-grade data pipelines, source connectors, warehouse transformations, curated models, reconciliation, and lineage for an AI-native finance platform. Responsibilities include dbt development, Airflow or Dagster orchestration, SQL and warehouse performance tuning, Python tooling, data quality testing, integration of messy enterprise systems, and mentoring engineers. The role supports multi-cloud, multi-tenant, single-tenant, and on-premises deployments with strong requirements for correctness, auditability, and tenant isolation.

Develop and lead the delivery of scalable low-code applications on the Mendix platform for financial services investment strategies. Translate business requirements into technical solutions, integrate applications with internal and third-party systems using APIs and web services, and ensure quality, performance, and adherence to development standards. Provide technical leadership, collaborate cross-functionally, and contribute to platform, deployment, and application lifecycle improvements.

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.

Develops, maintains, monitors, troubleshoots, and optimizes Amazon Redshift data warehouses and ETL/ELT pipelines. Responsibilities include SQL and Python development, production support, performance tuning, data quality validation, Tableau support, incident resolution, and operational documentation. The role also supports migration from Redshift to Databricks using Spark, Delta Lake, PySpark, Workflows, and Unity Catalog.

Technical Business Analyst Intern responsible for gathering and documenting business and technical requirements, creating BRDs, FRDs, user stories, use cases, and process flows, and translating requirements into technical specifications. The role involves collaborating with development, QA, and business teams, supporting UAT and testing, analyzing processes, troubleshooting functional issues, and maintaining project documentation. This is a three-month, office-based internship in Hyderabad with potential full-time conversion based on performance.

Supports the design, development, testing, and maintenance of Microsoft-based data solutions. Builds and monitors Azure data pipelines, performs data ingestion and transformation, writes SQL queries and scripts, and manages data across SQL Server, Azure SQL, data lakes, and cloud platforms. Collaborates with analytics and business teams, implements data quality and security controls, documents technical processes, and supports Power BI reporting while developing modern cloud data engineering skills.

Leads multiple engineering teams responsible for enterprise-scale platform applications and services. Oversees architecture, Java and Spring Boot backend development, SQL data solutions, React interfaces, APIs, microservices, cloud modernization, scalability, security, DevOps, monitoring, disaster recovery, and incident response. Partners with product, operations, infrastructure, and senior leadership to align platform strategy with business goals. Hires, mentors, and develops engineering leaders while driving delivery excellence across global teams.

Own end-to-end data ingestion, architecture, quality controls, reporting, dashboards, commercial analysis, budgeting, forecasting, and AI-enabled automation across a multi-hotel group. Support implementation of an FP&A platform, establish governance, and communicate insights to finance, operations, executives, and board stakeholders. The role requires strong Excel, SQL, visualization, financial analysis, data-quality, and practical AI capabilities.

Leads the architecture, implementation, and deployment of Azure-based data warehouses, pipelines, analytics platforms, and reporting frameworks. Provides consulting, solution design, presales support, regulatory analytics, and technical guidance to clients. Oversees data quality, governance, advanced analytics, and machine learning initiatives while mentoring analysts and consultants. Requires extensive experience with enterprise data architectures, ETL/ELT, dimensional modeling, client consulting, project leadership, team management, and financial services compliance.

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.

Develop and maintain Java web applications using Spring frameworks, REST APIs, and database technologies. Responsibilities include analyzing requirements, writing test-driven code, debugging and testing applications, validating security and functionality, participating in agile ceremonies, and collaborating with cross-functional teams. The role also involves SQL and PL/SQL development, software design, CI/CD practices, code reviews, and unit testing.

Designs and executes manual and automated tests across functional, regression, integration, system, and user acceptance scenarios. Documents and tracks defects, validates APIs and databases, maintains test plans and reports, and collaborates with developers and stakeholders during Agile development. Supports production issue analysis and ensures software meets quality standards before deployment. The role requires software testing lifecycle knowledge, defect tracking experience, API testing, basic SQL, and potentially automation skills using Selenium, TestNG, or Cypress.

Own the AI intelligence layer for a finance platform, building production machine-learning models, LLM and agentic systems, RAG workflows, evaluation frameworks, and grounding guardrails. Develop per-customer models with strict anti-leakage practices, deploy containerized services across customer cloud environments, and ensure outputs are traceable to verified data. Provide technical direction, mentor engineers, and collaborate across backend, data, product, and evaluation teams.

Develop frontend features for the Arango Data Platform and ArangoDB UIs. Modernize legacy code by migrating to React and TypeScript, translate Figma designs into polished user experiences, integrate backend and AI/ML APIs, and collaborate across product areas including graph visualization, developer tooling, dashboards, and AI-powered interfaces. The role also involves increasing feature ownership, shaping requirements, and iterating on shipped products.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Maintains production system reliability through incident triage, monitoring, alert optimization, Kubernetes troubleshooting, root cause analysis, and 24/7 support. Develops automation using C#, Java, Python, PowerShell, or Bash; monitors CI/CD pipelines; supports self-healing solutions; documents incidents and postmortems; and ensures fintech compliance. Collaborates with engineering and global teams to improve availability, performance, security, and operational processes.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Develop, maintain, and support AS400/iSeries applications using RPG (ILE and free-form), ACOM, and ShowCase Query. Participate in design, testing, Agile delivery, production support, change control, and SOX/IT security compliance. Collaborate with business and technical teams to estimate work, triage defects, and deploy changes to production.

Designs and maintains scalable data pipelines using AWS, Spark, Kafka, Airflow, and related technologies. Collaborates with product, data science, and business teams; develops reporting dashboards; documents data flows and runbooks; optimizes workflows; troubleshoots data processing issues; and supports Agile delivery and CI/CD practices.

Designs and maintains AWS data architectures, ETL/ELT pipelines, data warehouses, analytics datasets, dashboards, and visualization solutions. Uses SQL, Python, Spark, Glue, Lambda, S3, Athena, Redshift, and QuickSight to prepare, transform, validate, and govern data. Collaborates with product, engineering, and operations teams, optimizing performance, cost, scalability, and data quality while integrating data systems with AI and natural-language query tools.