Top SQL Jobs in Hyderabad

Develop and enhance software systems using Java, Python, and .NET technologies. Build database-driven applications with SQL Server, stored procedures, functions, triggers, and complex queries. Resolve defects, create interfaces and third-party integrations, and develop reports using Crystal Reports or SSRS. Analyze business objectives, identify system improvements, and collaborate with teams while applying strong object-oriented programming, analytical, communication, and problem-solving skills.

Configure, implement, administer, and customize NetSuite ERP solutions. Responsibilities include data migration, requirements gathering, SuiteScript development, workflows, forms, reports, integrations, testing, bundle installation, and client communication. The role supports both new implementations and existing NetSuite customers, requiring experience with OneWorld, Celigo, SDF deployments, advanced PDF templates, JavaScript, and web services.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code 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.

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.

Own end-to-end pharmaceutical market access and patient analytics modules using SQL, Python, AI/ML, and advanced analytics. Responsibilities include modeling and transforming claims, sales, and APLD data; designing dashboards; structuring analytical problems; generating actionable insights; automating recurring analyses; mentoring analysts; ensuring quality; and partnering with stakeholders to refine requirements.

Own and productionize a web data acquisition platform combining resilient crawling with AWS Bedrock-based verification. Responsibilities include modernizing HTTP and browser crawling, implementing proxy and egress management, reverse-engineering APIs, respecting robots.txt and legal requirements, containerizing and scheduling pipelines, and building testing, observability, alerting, and canary-crawl systems. The role requires deep expertise across legacy and modern scraping stacks, anti-bot reliability, data extraction, distributed crawling, compliance, and large-scale platform ownership.

Supports pharmaceutical and biotechnology client projects by integrating formulary, payer, claims, patient-level, IDN, and GPO datasets. Builds data pipelines, curated datasets, database queries, BI reports, scorecards, opportunity maps, and access analyses using SQL, Python, and visualization tools. Translates coverage and treatment-journey insights into executive summaries, recommendations, access strategies, pull-through plans, and account-planning guidance for clients.

Designs, builds, and maintains ETL/ELT pipelines, data warehouses, data models, and data quality processes. Integrates data from vendors and multiple sources, performs exploratory analysis to resolve data issues, and supports end-to-end data governance and operations. The role requires client interaction, mentoring junior engineers, and expertise in Python, PySpark, SQL, cloud platforms, Snowflake, Databricks, and pharmaceutical commercial data.

Develop scalable full-stack enterprise applications using Java, Spring Boot, microservices, REST APIs, and React or Angular. Design architectures, integrate databases and messaging systems, implement security, testing, CI/CD, Docker, Kubernetes, and cloud deployments. Apply agentic AI, LLM integrations, AI coding tools, prompt engineering, and tool calling to improve development workflows. Troubleshoot production issues, collaborate across technical teams, conduct code reviews, and mentor developers.

Lead end-to-end Salesforce CRM testing across implementations and transformation programs. Own test strategy, planning, SIT, UAT, regression, integration, functional, data migration, API, and release testing. Coordinate test teams, manage defects, validate integrations and migrated data, support business users through UAT, report quality metrics and risks, and provide go-live readiness assurance. Drive QA process improvements, automation, test coverage, and post-release validation.

Designs and develops scalable Microsoft Fabric and Azure data platforms, including ETL/ELT pipelines, APIs, integrations, data warehouses, lakehouses, and analytical data models. The role supports Power BI reporting, Salesforce integration, data quality, monitoring, CI/CD, performance optimization, production troubleshooting, and collaboration with business, CRM, reporting, and engineering teams.

Designs and leads enterprise Salesforce Marketing Cloud architecture, integrations, data models, customer journeys, personalization, security, governance, and deployment strategies. The role produces architecture documentation, guides development teams, conducts design reviews, mentors developers, and collaborates with stakeholders, product owners, QA, DevOps, and enterprise architects. Responsibilities include integrating SFMC with Salesforce CRM and external platforms such as Azure, Snowflake, and Data Cloud while ensuring scalable, secure, compliant marketing automation solutions.

Build and validate production machine learning and statistical models for music and entertainment marketing. Develop real-time data systems, predictive scoring, trend detection, AI briefing classification, dashboards, and GenAI-assisted workflows. Collaborate with data engineering, paid media, and creative teams while implementing tokenization, anonymization, and cross-border data privacy controls. The role is a 12-month fixed-term contract supporting clients across APAC.

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.

Develop, test, deploy, and support enterprise integration solutions using MuleSoft Anypoint Platform and Mule 4.x. Build System, Process, and Experience APIs; create REST/SOAP integrations; transform data with DataWeave; implement security, logging, monitoring, and error handling; write MUnit tests; troubleshoot production issues; and support CI/CD collaboration with technical and business teams.

Entry-level QA trainee responsible for creating and executing test cases, performing functional, regression, smoke, sanity, and integration testing, documenting defects, retesting fixes, and validating applications across browsers and devices. The role involves collaboration with developers and analysts, test documentation, and learning API, database, and automation testing using modern QA tools.

Design and architect enterprise Snowflake data platforms and solutions. Develop and administer Tableau dashboards, leverage Snowflake Cortex, and implement AWS-based data ingestion and integration using S3, Lambda, Glue, and IAM. Lead ETL/ELT frameworks, data modeling, data warehousing, SQL performance optimization, and enterprise data integration. Manage client and stakeholder relationships while delivering scalable, high-performing data architectures.

Own the data platform product roadmap, including multi-chain ingestion, on-chain parsing, token and market data, APIs, datasets, analytics tools, governance, quality monitoring, and metric frameworks. Partner with engineering, backend, algorithm, BI, risk, growth, and business teams to deliver reusable data products. The role requires substantial product management experience, hands-on Web3 knowledge, understanding of blockchain data models, SQL proficiency, and familiarity with data infrastructure and analytics tooling.

Design and maintain automated tests using Python and Pytest; test REST APIs, databases, data pipelines, and Power BI dashboards. Validate data accuracy and reconciliation across source systems, APIs, databases, and reporting layers. Execute functional, regression, integration, and end-to-end testing, document defects, collaborate with development and data teams, and improve automation coverage and framework efficiency.

Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.

Customer-facing technical role deploying AI-enabled solutions into enterprise environments: prototype, integrate, configure, and deliver AI-native workflows, ETL pipelines, dashboards, and tooling to improve ESG reporting, automation, and operational efficiency.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

Manage global equity settlement operations across international markets, including trade matching, settlement exception resolution, cash and position reconciliations, and aged-fail remediation. Coordinate with custodians, counterparties, trading, finance, compliance, and engineering teams. Support SEC, FINRA, and global regulatory controls, reporting, audits, and process improvements. Use SQL, Metabase, and automation tools to improve operational efficiency and analytics.