Top SQL Jobs in Pune

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

Define and govern the global AVEVA MES solution architecture, lead technical design and governance, participate hands-on in configuration and development, support integrations and production incidents, create templates and documentation, guide vendors and internal teams, and drive rollout, CI/CD, and long-term MES capability building across sites.

Design, develop, and maintain cloud-hosted SaaS web applications for insurance/reinsurance. Build responsive front ends with Angular/TypeScript, develop RESTful APIs in Python/FastAPI, support databases (SQL/NoSQL), create UI automation tests, troubleshoot issues, and incorporate AI to accelerate development and deliver AI-driven features.

Design and implement scalable backend services and APIs using C#/.NET. Build microservices, integrate databases and messaging systems, containerize with Docker, participate in CI/CD and release automation, ensure testable, maintainable code, and collaborate on high-scale distributed systems.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

The Integration Consultant will develop integrations between Workforce Optimizer and third-party systems, build data mappings, customize existing integrations, and troubleshoot issues.

Provide technical support and troubleshooting for Zimperium's mobile threat defense product, owning customer issues through resolution, validating fixes with QA, creating JIRAs for engineering, and collaborating with product, devops, and customer success teams to maintain high customer satisfaction.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

The CRM Developer & Data Analyst manages MS Dynamics CRM, develops Power Platform solutions, and generates Power BI reports to enhance commercial objectives and ensure data quality and compliance.

Provide front-line technical support by diagnosing customer issues, reproducing bugs, reading MERN codebase, analyzing logs and AWS metrics, collaborating with engineering to fix and verify issues, and proactively monitoring system health.

Design, execute, and maintain test plans for an AI-powered platform. Perform functional, integration, regression, end-to-end, API, browser/device compatibility, and performance testing. Validate AI features, prompts, and generated responses; track and verify bug fixes; collaborate with developers and product teams; prepare launch-readiness reports and recommend stability and UX improvements.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

The Data Architect will design and manage secure data platforms using Snowflake in healthcare, focusing on compliance, data models, and analytics.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

Develop and deploy applications using Java Spring Boot and Python, databases and SQL, AWS cloud services, CI/CD pipelines, and automated testing. Collaborate within a small agile team, learn new technologies, and contribute strong analytical, communication, and organizational skills.

Design, develop, and maintain scalable Playwright/Cypress automated test frameworks and suites for web applications. Create and run functional, regression, integration, smoke, and end-to-end tests; integrate tests into CI/CD; debug failures; document defects and quality risks; mentor junior QA engineers; and improve automation coverage, reliability, and test speed.

Lead insights and analytics for Japan & Korea, develop strategy, manage a team, run qualitative and quantitative consumer research, deliver predictive analytics and visualizations, partner with cross-functional stakeholders, present insights to senior leadership, and ensure regulatory compliance.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Implement clean user journeys for financial services, integrate backend APIs, optimize performance and reliability, use analytics and on-device AI (TensorFlow Lite), and collaborate with product and design to improve UX and stability.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify user journeys, and apply on-device AI where it enhances UX. Use analytics and production feedback to iterate.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.