Top SQL Jobs in Pune

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Develop and execute automation test scripts for API Testing using various tools, create reusable automation frameworks, and lead test management tasks.

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.

Design, create, and execute functional and regression tests for Adyen payment integrations across eCommerce platforms, maintain automation scripts, perform end-to-end and API testing, support UAT, and collaborate with cross-functional teams for high-quality releases.

Lead owner of FairMoney's Android lending portfolio in Nigeria. Responsible for portfolio economics, business planning, credit strategy, affordability, experimentation, decision-engine implementation, forecasting, risk controls, and building a senior team while coordinating cross-functional delivery.

The Marketing Operations Specialist will manage Pardot and Salesforce operations, optimize marketing processes, execute campaigns, track analytics, and maintain lead database integrity.

Provide first-line technical support for a Next.js/React/Node.js/Supabase stack: reproduce and debug customer issues, implement TypeScript fixes, collaborate with product/QA/engineering, assist with patch releases, and maintain documentation and runbooks while communicating solutions to customers.

Design, build, test, and maintain automated workflows and integrations across CRM, operations, sales, and support using platforms like Zapier, Make, n8n, or Power Automate. Troubleshoot failures, document processes, collaborate cross-functionally, monitor performance, and support automation initiatives to improve efficiency and scalability.

Lead and scale paid media strategy across search, social, display and emerging channels. Manage large media budgets, optimize CAC and ROI, run creative and landing page testing, analyze performance data, oversee tracking/attribution setup, collaborate with creative teams, and lead a small team or agencies to drive conversion-focused growth.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Growth Marketing Manager will lead digital advertising campaigns, optimize marketing performance through data analysis, and implement automation tools, while collaborating across teams to drive growth.

Administer and optimize Zendesk and related integrations; manage workforce planning, forecasting, scheduling and intraday operations; build dashboards and reports; monitor contact centre KPIs; provide analysis and staffing recommendations to improve service levels and customer outcomes.

Serve as a Business Analyst in investment banking: write specifications, create tests, collaborate with stakeholders, promote Agile, run Agile ceremonies, support the Product Owner and team delivery, and apply SQL and change/release management knowledge.

The role involves developing and maintaining analytics data warehouse and MDM solutions, ensuring data integrity, and supporting business intelligence efforts.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

Own credit strategy and performance for expansion and partnership portfolios. Monitor KPIs, design approval/pricing/limit policies, lead partnership underwriting, translate data into decisioning improvements, and collaborate with Product and Data Science to implement risk strategies and pilot evaluations.

Design and evolve enterprise data solutions and data products using Data Mesh and real-time streaming. Own architectural runway, non-functional requirements, CI/CD and DataOps practices, Kubernetes hosting, and ensure built-in quality, security and cross-functional collaboration.

Lead design and delivery of scalable, high-performance cloud-native applications and APIs. Provide technical leadership across architecture, development, troubleshooting, testing, CI/CD, and deployment. Collaborate with architects, product, security, and DevOps; guide teams on NFRs, system performance, event-driven patterns, and release management while supporting SIT/UAT and operational databases.

Lead architecture and hands-on development for Vena's C#/.NET Excel desktop add-in. Drive feature design, upgrades, performance optimization, complex bug fixes, cross-team collaboration, mentoring, and technical initiatives to improve code and product quality while working on a distributed, remote-first team.

The Senior QA Engineer will design and maintain automation frameworks, drive testing strategies, ensure product performance, and mentor junior engineers.

As Principal QA Engineer, you will lead quality engineering, design automation frameworks, mentor teams, and integrate AI tools to enhance software quality.