Top SQL Jobs in Hyderabad

Own and scale paid growth campaigns across Meta, Google, LinkedIn, and emerging channels. Manage budgets, optimize funnel performance, maintain tracking and attribution infrastructure, run A/B tests, and monitor metrics such as CTR, CPC, CPA, and ROAS. Collaborate with design, product, and sales on positioning and go-to-market execution, use AI tools to improve campaign production and optimization, maintain CRM data, and communicate performance insights to stakeholders.

Own the strategy, roadmap, configuration, and quality of the Nations Vision benefits platform. Manage provider portals, fee schedules, provider networks, plan access rules, and claims processing in partnership with engineering and operations. Drive data integrity, audits, root-cause analysis, automation, and continuous improvement while coordinating with QA, client services, leadership, and hundreds of clients. Translate complex requirements into product specifications and prioritize enhancements based on stakeholder feedback and business needs.

Manage product support tickets and escalations from intake through resolution. Troubleshoot issues using SQL, API tools, and application log analysis; reproduce incidents, identify root causes, and communicate findings to Engineering. Coordinate stakeholders, UAT, releases, and post-production issue management. Review recurring issues to recommend product improvements, maintain technical documentation and knowledge bases, and improve support workflows and user experience.

Build and maintain a multi-tenant cloud case management platform across frontend, backend, APIs, databases, and AWS infrastructure. Develop Angular and React applications, Python services, REST integrations, PostgreSQL schemas and queries, operational dashboards, field workflows, and data migrations. Collaborate with technical and business teams to deliver tested features in an Agile/Scrum environment while using AI coding tools for development, debugging, reviews, and research.

Lead Power BI and Microsoft Fabric development, administration, governance, performance optimization, and production support. Develop reports, semantic models, dataflows, and paginated reports; manage workspaces, gateways, refreshes, security, capacities, and APIs. Support Fabric workloads including OneLake, Lakehouse, Warehouse, Pipelines, and Notebooks. Troubleshoot complex incidents, conduct root-cause analysis, establish platform standards, guide developers, and coordinate with technical teams to deliver secure, scalable enterprise data-platform solutions.

Designs, builds, and maintains scalable Databricks data pipelines using PySpark, Python, SQL, and Delta Lake. Develops ETL/ELT processes, data transformations, logical and physical models, and enterprise data architectures. Ensures data quality, governance, lineage, performance, security, and reliability. Translates business requirements into technical solutions while collaborating with business users and technical stakeholders. The role is hybrid in Hyderabad, requires three office days weekly, and works 2:00 PM to 11:00 PM.

Leads client-facing data, analytics, AI, and platform modernization engagements using Microsoft technologies. Designs secure, scalable, governed data platforms; develops pipelines, data models, semantic models, and Power BI solutions; facilitates workshops; manages technical risks; mentors consultants; and translates business needs into practical data solutions.

Provides advanced L3 technical support for graph and data-based software products. Troubleshoots Linux, database, networking, cloud, Kubernetes, cluster, API, and performance issues across distributed environments. Participates in 24/7 on-call coverage, manages SLAs, creates documentation, supports product adoption, and collaborates with engineering teams on escalations. Requires expertise in graph and NoSQL databases, SQL, scripting, data streaming, containers, monitoring, and cloud infrastructure.

Analyze vibration data and monitor wind turbine drivetrain health, including gearboxes, bearings, and generators. Manage alarms, diagnose potential failures, improve monitoring thresholds, support new-site data onboarding, and escalate findings. The role may expand to SCADA analysis and requires expertise in vibration analysis, condition monitoring, failure modes, and root-cause analysis.

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.

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.

Leads the development of scalable ETL and ELT pipelines using Azure Databricks, PySpark, SQL, and Delta Lake. Builds real-time and batch data solutions, implements Unity Catalog governance, develops automated unit tests, and resolves production issues end to end. Collaborates across scrum teams on database programming and platform modernization while applying SOLID principles and maintaining data integrity.

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.

Build and maintain full-stack web and mobile applications using React/React Native and Python backends. Design relational databases, ETL pipelines, and REST APIs. Integrate enterprise systems, troubleshoot production issues, optimize performance, and collaborate with product, design, and AI teams.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Develop and maintain scalable data transformation and ELT pipelines using DBT and Snowflake. Build DBT models, macros, snapshots, seeds, and tests; optimize SQL and Snowflake workloads; perform data quality checks and troubleshooting; translate business requirements into data solutions; and support governance, documentation, CI/CD, deployments, code reviews, and production workflows.

Design, develop, and deploy advanced NetSuite customizations, integrations, automations, and technical architectures. Lead SuiteScript and SuiteCloud implementations, manage SDF-based deployments and governance, optimize performance, and troubleshoot high-volume transactional systems. Translate functional requirements into technical solutions, advise stakeholders on customization trade-offs, document designs and deployment procedures, review code, and mentor junior developers. Support ERP processes including financials, revenue recognition, taxation, order-to-cash, and procure-to-pay across implementation and managed-service engagements.

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.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Leads the design, testing, documentation, and scaling of weather data pipelines that convert scientific forecasts into timely, location-specific farmer messages. Oversees data quality, automated processing, system replication across geographies and dissemination channels, technical requirements, and stakeholder coordination. Translates between forecast science, engineering, research, and program teams while guiding staff and contributing to funding proposals and institutional knowledge management.

Own the QA and test automation strategy across the software development lifecycle. Design scalable automated frameworks and test API, integration, functional, regression, and end-to-end functionality. Integrate tests into CI/CD pipelines and establish quality gates. Investigate defects, assess release readiness, improve test coverage, and support root cause analysis. Mentor QA engineers, promote shift-left quality practices, and collaborate with engineering, product, and distributed stakeholders on continuous improvement.

Build and optimize ETL/ELT pipelines feeding BigQuery, audit and troubleshoot data quality, and create reliable Looker Studio dashboards. The role supports sales leaders by turning raw data into accurate, actionable insights, improving reporting performance, eliminating manual processes, and ensuring data integrity across Curvion’s revenue operations ecosystem.

Provides Level 1 application and system support for global clients through monitoring, incident identification, troubleshooting, escalation, deployment support, dashboard creation, and operational logging. The role involves exposure to .NET, Java, databases, cloud platforms, DevOps tools, automation, and rotational shifts. Associates communicate with internal teams and clients, follow SLAs and procedures, maintain handovers, and contribute to continuous improvement.

Leads complex MuleSoft integration and API projects from discovery through deployment. Designs scalable architectures, develops real-time and batch integrations, performs data mapping, troubleshoots legacy code, and creates reusable patterns and documentation. Facilitates client workshops, advises stakeholders, manages technical risks, demonstrates solutions, and collaborates with architects and consultants. Mentors junior developers and applies AI-assisted development to coding, debugging, automation, integration design, and documentation.

Paid six-month internship providing structured training and practical exposure in full-stack development, MVP design and deployment, data analysis, cloud-native DevOps and SRE, cybersecurity, and AI defense. Interns will complete assignments, build real-world projects, receive mentorship, and may be considered for full-time hiring. Applicants need foundational computer, networking, programming, development, and problem-solving knowledge, with hands-on familiarity in at least one programming language or development stack.