Top SQL Jobs in Hyderabad

Consults on Sigma Computing and Snowflake solutions, using advanced Snowflake capabilities, semantic modeling, business intelligence, reporting, analytics, SQL, data modeling, and Snowflake optimization. The role requires troubleshooting, analytical thinking, and strong communication while delivering BI and reporting solutions.

Develop full-stack applications using Java, Spring Boot, microservices, Angular, and WebFlux. Build REST APIs and reactive applications, work with SQL databases, and contribute to application architecture. Troubleshoot technical issues, apply analytical skills, and communicate effectively with stakeholders. The role requires 6–12 years of Java full-stack development experience and at least one year of hands-on WebFlux experience. Immediate joiners are preferred.

Design, develop, and optimize SAP BW/4HANA enterprise data warehouse solutions. Responsibilities include BW/4HANA modeling, LSA++ architecture, virtualized data warehousing, complex transformations, data transfer processes, HANA SQL models, ABAP routines, analysis authorizations, ODP, remote connections, data tiering, lifecycle management, conversions, Eclipse development, and AMDP versus ABAP optimization.

Lead development of scalable enterprise applications using Python, REST APIs, SQL/PostgreSQL, FastAPI or Flask, and microservices. The role involves guiding technical delivery and may use Django, PySpark, GraphQL, Elasticsearch, Hadoop, AWS, CI/CD, testing frameworks, and Git. This is a hybrid Hyderabad role requiring four office days weekly, with a 12 PM–9 PM shift and immediate-to-15-day availability.

Develop backend applications using Python, object-oriented and functional programming, REST APIs, SQL, Apache Spark, multithreading, multiprocessing, and asynchronous programming. This hybrid full-time role is based in Bengaluru, Hyderabad, Pune, or Chennai and requires 6–10 years of experience.

Lead Azure Databricks and data engineering initiatives, including ETL and pipeline development, data integration, API implementation, cloud solutions, application development, performance optimization, and DevOps/CI/CD. Manage teams and stakeholders while delivering scalable solutions on Microsoft Azure.

Develop scalable data processing applications and distributed systems using Core Java, Spring Boot, and Apache Spark. Responsibilities include implementing multithreading and concurrency, applying data structures and algorithms, building SQL-driven ETL and data pipelines, debugging applications, tuning performance, and solving complex technical problems.

Develop and support Microsoft Dynamics 365 Finance & Operations solutions, troubleshoot technical, performance, functional, and integration issues, and deliver enhancements, bug fixes, integrations, and deployments. The role includes incident ownership, documentation, monitoring, automation, technical design, peer reviews, stakeholder communication, and mentoring junior engineers. Candidates collaborate with global teams and contribute to Power Platform and Azure integration initiatives.

Develop and maintain scalable Python applications in an enterprise environment. Responsibilities include integrating AI/ML solutions, building REST APIs, working with databases, applying secure coding practices, collaborating across technical teams, troubleshooting production issues, monitoring performance, participating in code reviews, and following enterprise deployment and operational standards.

Conduct API and application testing, develop and execute test cases, identify and track defects, validate databases with SQL, analyze test results, and report findings. Collaborate with cross-functional Agile/Scrum teams to support timely delivery of high-quality software. Python scripting knowledge is desirable for test automation.

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.

Three-month QA Engineer internship involving test scenario and case preparation, functional, regression, integration, API, database, and manual testing. The intern will document defects, execute tests, support automation, troubleshoot issues with developers, and participate in debugging and root-cause analysis. Basic QA, SQL, programming, and API knowledge is required or advantageous. The role is office-based in Hyderabad five days per week and may convert to full-time employment based on performance.

Develop and maintain scalable full-stack applications using React.js, TypeScript, and Java. Build APIs and gRPC services, design SQL data models, integrate OpenAI capabilities, and deploy cloud-based solutions on Azure and AWS. Implement Terraform infrastructure, maintain CI/CD pipelines, use Git for version control, and develop automated tests with Playwright. Collaborate with cross-functional teams to deliver features and improve existing systems.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and Spark-based data pipelines. Build Snowflake data solutions, optimize ETL/ELT workflows, and create React or Angular enterprise dashboards. Integrate frontend and backend systems, implement testing, monitoring, CI/CD, and DevOps practices, and troubleshoot production issues. Collaborate with engineering, data, DevOps, and business teams on architecture, code reviews, performance tuning, and root-cause analysis.

Design, develop, and support scalable Java and Apache Spark data-processing applications and AWS ETL/ELT pipelines. Build batch and real-time solutions, optimize Spark performance, manage data ingestion and transformation, implement validation and monitoring, and troubleshoot production issues. Collaborate on architecture, testing, CI/CD, data modeling, code reviews, and root-cause analysis across engineering, DevOps, and business teams.

Owns QA automation across API, UI, integration, regression, and performance testing. Designs scalable Python-based automation frameworks, validates REST APIs and React applications, integrates tests into CI/CD pipelines, and analyzes performance results. Collaborates with product and engineering teams on test strategy, acceptance criteria, quality metrics, release readiness, and defect resolution. Maintains reusable test suites, supports cross-browser and accessibility testing, and improves coverage and testing processes.

Provide first-line product support for a B2B SaaS platform through email, chat, and calls. Troubleshoot issues, replicate bugs, coordinate escalations, track resolutions, document knowledge-base content, educate customers, monitor recurring issues, and participate in QA and beta testing. The role collaborates closely with Product, Technology, and Customer Success teams and requires Hindi proficiency.

Manage customer-related data, maintain CRM and ticketing records, generate recurring reports, track customer success KPIs, analyze feedback and support trends, and provide insights for improving engagement and service quality. The role also involves automating reporting tasks using Excel and other tools, coordinating data sharing across teams, and identifying process improvements.

Build and ship product features for government procurement and contract lifecycle software. Responsibilities include writing efficient Java code, applying data structures and algorithms, designing and managing SQL and NoSQL databases, using AI tools, debugging, testing, and owning software end to end.

Develop and deploy scalable Java applications across the full software development lifecycle. Build Spring and Spring Boot microservices, REST APIs, and AI-integrated features using OpenAI, Claude, and automation tools. Prototype frontend interfaces with Lovable, troubleshoot existing systems, collaborate with cross-functional teams, mentor junior developers, and contribute to engineering best practices.

Build and maintain Java software features under senior guidance, develop RESTful APIs and microservices with Spring and Spring Boot, integrate AI capabilities using OpenAI and Claude APIs, prototype frontend components with Lovable, debug systems, participate in code reviews, and collaborate with cross-functional teams while learning engineering best practices.

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.

Provides L2/L3 production support for Oracle Cloud General Ledger, resolving incidents, journal and integration issues, period-close problems, scheduled-process failures, and reconciliation discrepancies. Supports close activities, quarterly updates, testing, configuration changes, FBDI loads, Oracle Service Requests, documentation, end-user training, and SLA-based ticket management. Collaborates with AP, AR, FA, CM, and Expenses teams and participates in on-call support.

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.

Design, build, and maintain unified data platforms using Microsoft Fabric and Azure services. Develop data pipelines, models, and analytics workloads with SQL, PySpark, and DAX. Integrate OneLake, ADLS Gen2, Synapse, Databricks, and Power BI while implementing medallion architecture, governance, lineage, CI/CD, and data-quality practices. Collaborate with stakeholders to deliver scalable solutions, troubleshoot workflows, optimize performance and costs, and meet service-level agreements.