Top SQL Jobs in Pune

Lead technical design and delivery of membership and loyalty backend services using Antavo. Own architecture, build scalable low-latency APIs and event-driven integrations (SFCC, Fluent Commerce), integrate LLM APIs and AI services, ensure observability, reliability, security, and drive engineering best practices, mentoring, and performance optimization.

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.

Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Deliver end-to-end digital transformation and AI-enabled solutions by gathering requirements, designing functional solutions, coordinating cross-functional teams, executing SDLC activities, supporting testing and deployment, and driving business adoption. Use analytics, automation, and AI where applicable and maintain governance, documentation, and continuous improvement.

Lead end-to-end delivery of digital transformation and AI initiatives, establish project governance, manage resources and stakeholders, drive Agile execution, mentor consultants, and ensure on-time, high-quality business outcomes and adoption.

Design, build, test, deploy, and monitor production automations that integrate Python, REST APIs, cloud data stores, and Large Language Models. Implement prompt engineering, structured output parsing, validation, and orchestration; create lightweight React/FastAPI interfaces when needed; follow agile practices, maintain shared libraries and repos, and hand off documented automations to operations teams.

Design, build, test, and maintain scalable data models and pipelines using Python, PySpark, and Apache Airflow. Administer and optimize Snowflake environments, virtual warehouses, and MLOps workflows. Enforce data governance, quality, and compliance standards while supporting self-service data ownership. Create technical designs, conduct code reviews, mentor engineers, support production services, and collaborate with architecture teams.

Build and operate cloud-native backend services in Go, including RESTful APIs and microservices. Responsibilities include monitoring, alerting, metrics, logging, on-call support, performance and security improvements, scalability initiatives, and troubleshooting across code, infrastructure, and integrations. The role requires collaboration within an agile team and translating product requirements into maintainable software.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Lead the design, development, testing, deployment, and support of enterprise-scale full-stack applications. Provide technical leadership across front-end, back-end, integration, and data layers; build Java and Spring Boot APIs, microservices, event-driven and cloud-native solutions; champion DevSecOps, CI/CD, automated testing, security, observability, and infrastructure automation. Collaborate with stakeholders, contribute to Agile delivery and governance, make architectural decisions, and mentor engineers.

Develop and administer Oracle Agile PLM using PC and PPM modules. Build URL-based, event-driven, and custom process extensions; manage Agile administration activities; integrate Agile with other applications using Boomi, SCMNet, and custom web services. Develop Java and Java/J2EE web applications and create SQL and PL/SQL scripts for data exchange and system functionality.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.

Own the quality engineering strategy and platform across Android, web, API, and backend systems. Design and maintain comprehensive manual and automated testing for complex distributed architectures, lead root-cause analysis, define quality metrics, integrate testing into CI/CD, and certify releases and production hotfixes. Collaborate with product, engineering, and DevOps teams, conduct QA automation code reviews, identify production risks, monitor field issues, and mentor junior quality engineers.

Provides Oracle ERP functional consulting for Project Portfolio Management and Grants Accounting. Responsibilities include stakeholder management, requirements gathering, CRP facilitation, problem analysis, SQL querying, and technical design, development, deployment, and operation in Oracle EBS R12. Requires strong knowledge of financial modules, Oracle PPM and OGA, with familiarity with AIPS and PBCS preferred. English proficiency is mandatory, while additional IAEA languages and international financial standards knowledge are advantageous.

Owns healthcare technology product requirements, roadmap, backlog, Agile delivery, user testing, performance metrics, release communications, bug prioritization, risk mitigation, and stakeholder training. The role serves as the primary product contact across internal teams, clients, and partners while aligning solutions with value-based care, US healthcare workflows, regulatory requirements, and user needs.

Develops production-grade data science solutions using statistical modeling, machine learning, causal inference, and experimental design. Responsibilities include data exploration, feature engineering, model validation, deployment packaging, explainability, model documentation, experiment tracking, and production pipeline collaboration. The role focuses on fraud and risk, predictive maintenance, and patient outcome modeling, while mentoring junior analysts and translating research into platform capabilities.

Own technical product strategy and execution for data platform capabilities. Write implementation-ready PRDs, API contracts, schemas, state diagrams, and edge-case specifications; collaborate with engineering and architecture teams; manage developer experience roadmaps for SDKs, CLI tools, webhooks, and APIs; prototype with SQL and Python; coordinate technical dependencies; maintain architecture and API documentation; and translate enterprise customer requirements into platform solutions and roadmap priorities.

Supports product discovery, customer research, competitive analysis, user story development, backlog management, sprint tracking, and feature launches. Analyzes product usage through dashboards and SQL, coordinates engineering, design, QA, and customer success teams, prepares release communications, and participates in enterprise customer onboarding and business reviews. The role develops early-career product leaders at the intersection of AI/ML, analytics, and enterprise software.

Validates data movement, mappings, transformations, APIs, migrations, AI-agent workflows, business rules, guardrails, and user-interface outputs. Develops integration, regression, edge-case, and AI-output tests; verifies data integrity and schema conformance; evaluates agent decisions, tool usage, fallbacks, hallucinations, and human-review handoffs. Investigates defect sources across systems and communicates quality risks and findings to product, engineering, data, and business stakeholders.

Lead Software Engineer responsible for designing high-performance Java applications, mentoring developers, and implementing DevOps practices while optimizing software delivery pipelines.

Design, build, and maintain scalable AWS data platforms, implement data governance, and optimize architectures while collaborating with cross-functional teams.

Responsible for leading the design and development of scalable full stack applications, mentoring teams, and driving technical solutions using Java, Spring Boot, Angular, and React.

Develop and maintain software applications, focusing on database design and architecture, collaborating with teams, and ensuring code quality.

Leads end-to-end performance testing across SaaS applications, APIs, microservices, ETL pipelines, databases, Kubernetes, and cloud-native platforms. Designs load, stress, endurance, and scalability tests; analyzes application, database, and infrastructure bottlenecks; monitors systems with observability tools; validates Kubernetes performance; integrates tests into CI/CD pipelines; produces stakeholder-facing reports; supports performance tuning; and mentors junior engineers.