Top SQL Jobs in Pune

Lead architecture and full-stack development across web, mobile, DevOps, automation, and AI initiatives. Build frontend applications with React, backend services with Node.js and Django, REST APIs, and database solutions. Design and maintain cloud deployments across Azure and AWS, infrastructure as code, and CI/CD pipelines using GitHub Actions, Terraform, and CloudFormation. Use AI-assisted development tools and private LLMs to improve business efficiency. Work flexibly across India, UK, and US time zones.

Build and maintain full-stack web applications using React or Angular and .NET, Node.js, Laravel, or similar frameworks. Integrate LLM-powered features and use AI coding tools and autonomous agents to accelerate development, testing, and prototyping. Contribute to cloud infrastructure, deployments, databases, APIs, microservices, performance optimization, and solution design. Collaborate with AI specialists, international stakeholders, and distributed teams in Agile environments while maintaining high-quality, maintainable code.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

Leads UKG application architecture and administration as the senior technical SME. Configures modules, workflows, security, integrations, reports, dashboards, testing, releases, and production support. Partners with HR, Payroll, IT, Security, vendors, and business stakeholders to deliver secure, scalable solutions. Troubleshoots integration failures, performs root cause analysis, supports governance and audit readiness, protects sensitive HR data, and drives documentation, knowledge transfer, and continuous improvement.

Build and optimize Starburst-based data pipelines and federated queries, integrate databases, data lakes, and warehouses, and ensure performance, reliability, and governance. Collaborate with analytics, AI/ML, and business teams to deliver scalable data platforms and solutions.

Lead the implementation, configuration, administration, and integration of Alation Data Catalog. Manage metadata ingestion, data lineage, business glossaries, data quality, classification, stewardship, governance workflows, and platform integrations. Develop automation using Alation APIs, REST APIs, SQL, and Python; troubleshoot catalog operations; collaborate with technical and business stakeholders; and mentor Alation developers.

Develop and maintain full-stack web, mobile, DevOps, and AI solutions using TypeScript, JavaScript, Python, React, Node.js, Django, SQL databases, cloud platforms, and infrastructure-as-code. Responsibilities include API development, database deployment, CI/CD pipeline design and maintenance, source control workflows, and AI-assisted development using tools such as GitHub Copilot and private LLMs. The role requires flexibility to work across India, UK, and US time zones during a two-year contract.

Owns full-cycle recruitment from sourcing through offer acceptance for technical and non-technical roles. Uses job boards, LinkedIn, referrals, campus channels, ATS/HRMS platforms, and AI-assisted screening tools to build pipelines and conduct first-round evaluations. Coordinates interviews, communicates with candidates, manages offers and pre-employment checks, tracks recruiting metrics, maintains candidate records, and hands accepted hires to the HR Manager for onboarding.

Develop and maintain enterprise applications using .NET Core, C#, ASP.NET Core, MVC, Web API, and Entity Framework. Implement features, fix bugs, troubleshoot application issues, optimize performance, write tests, participate in code reviews, and support CI/CD automation. Collaborate with product, design, QA, backend, and DevOps teams in Agile ceremonies while maintaining technical documentation and release materials.

Own post-purchase customer success for real estate investor buyers. Responsibilities include onboarding, activation, account health scoring, retention and churn management, escalations, refund resolution, customer feedback analysis, reporting, and building playbooks from scratch. The role partners with sales, support, product, engineering, and analytics while directly owning retention metrics and working at least four hours daily with US Eastern Time.

Serves as the bridge between business stakeholders and BI/IT teams by translating requirements into analytics solutions. Defines KPIs, guides Power BI and SQL development, validates data and dashboards, coordinates UAT, supports governance and standardization, trains users, and drives adoption of business intelligence tools. Partners with Sales, Finance, Delivery, and Operations leaders to deliver actionable insights and measurable business outcomes.

Designs and maintains automated testing frameworks for API-based security and threat protection products. Develops test strategies, executes tests, improves coverage, evaluates testing tools, and collaborates with engineering teams on code, design, test plans, and automation frameworks in an Agile environment. Supports releases, testing process improvements, customer installations, and product demonstrations.

Designs and delivers Microsoft Fabric and Power BI analytics solutions, including data pipelines, lakehouses, warehouses, semantic models, dashboards, and AI-ready data foundations. Optimizes DAX, Power Query, performance, capacity, and refresh strategies. Supports Copilot and generative AI use cases, integrates Power Apps and Power Automate, and manages governance, security, deployment, monitoring, documentation, and lifecycle controls. Partners with business, security, architecture, and AI stakeholders to deliver scalable, trusted analytics products.

Develop and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Leads data engineering initiatives involving ETL/ELT pipelines, database optimization, orchestration, big data technologies, data modeling, BI performance, and data quality monitoring. Requires strong Scala, Python, SQL, and shell scripting skills, plus payments-domain expertise covering transaction processing, settlements, disputes, reconciliation, gateways, acquiring, issuing, and PCI-DSS compliance. The role also involves cross-functional communication, planning, facilitation, negotiation, and collaboration with senior stakeholders and clients.

Lead QA automation initiatives by architecting frameworks, migrating automation suites to Playwright, and developing UI and API tests. Integrate testing into CI/CD pipelines, define quality metrics, maintain testing infrastructure, document standards, conduct peer reviews, assess product quality, mitigate testing risks, and provide technical guidance and onboarding for QA teams.

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

Develop and support enterprise integrations involving SAP and Informatica MDM. Build data mappings, workflows, and integration processes; manage master data governance, transformation, cleansing, matching, and survivorship. Troubleshoot integration issues, work with relational databases and SQL, and document solutions. Preferred experience includes SAP ECC or S/4HANA, SAP PI/PO or CPI, Informatica IDQ or PowerCenter, APIs, cloud and hybrid architectures, Agile development, and relevant certifications.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.

As a Quality Engineer, you will conduct automated and manual testing, ensuring software reliability through design and analysis, collaborating with various teams, and maintaining test artifacts.

Design, implement and support analytical data infrastructure and real-time pipelines on AWS. Extract, transform and load data from varied sources using SQL and big-data tools; enable analytics, monitoring, and machine-learning workflows; improve reporting and automate self-service data processes.

Design and own enterprise data architecture and roadmap, modernize legacy systems to cloud-native platforms, define modeling, governance, integration and real-time patterns, select and evaluate data platform technologies, mentor teams, and provide architectural oversight to ensure scalable, secure, and performant data solutions for analytics and ML.

The Senior Analyst will develop and maintain VBA automation solutions for Finance operations, enhancing efficiency and process control through automation and data management.

The Revenue Operations Associate will design dashboards, analyze data, automate reporting, enhance data quality, and utilize Python and SQL to support sales and marketing efforts.

Develop, deploy, and troubleshoot cloud-based applications across SaaS/PaaS/IaaS. Build and optimize ETL/ELT workflows and data warehousing on Snowflake and AWS, integrate cloud applications via APIs, and collaborate with project managers to deliver solutions.