Top SQL Jobs in Pune

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.

Provide 24x7 L1 production support for wealth management applications, including incident triage, troubleshooting, application and batch monitoring, smoke testing, job scheduling, SQL-based data updates, alert management, escalation, root-cause analysis, reporting, disaster recovery documentation, and service improvement. The role coordinates with development, infrastructure, business, audit, compliance, and global support teams, with occasional night, weekend, and on-call duties.

Own the architecture, scalability, governance, and technical direction of Amtech’s cloud data platform, including warehouses, tenant data stores, feature stores, and event pipelines. Lead multi-tenant data architecture, hybrid AI data routing, data security, observability, and reliability standards. Build data foundations for analytics, machine learning, and AI agents, including vector databases and RAG pipelines. Provide technical leadership through design reviews, mentoring, roadmap planning, and cross-functional architecture collaboration.

Develop AI-driven automated tests, Python tools, and frameworks for NVIDIA GPU drivers and SDKs across Linux systems. Analyze test results, debug defects, improve code coverage, validate compatibility across hardware and interfaces, and support CI/CD testing. The role requires expertise in operating systems, PC hardware and I/O architecture, databases, software quality assurance, and collaborative code review. This is a fully onsite position.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.

Develop and maintain interactive Tableau dashboards and reports that turn complex data into actionable business insights. Extract, transform, and analyze data from multiple sources using SQL, identify trends, troubleshoot data issues, and support data visualization best practices. Collaborate with business stakeholders to translate analytical needs into clear visual solutions and recommendations for nontechnical audiences.

The Technical Lead manages the design, development, and integration of engineering solutions, collaborating with teams to enhance product offerings and implement best practices.

Design BMS for modular buildings including Revit modeling, equipment/material specifications, construction and as-built documentation, I/O and network diagrams, and BOMs. Lead BMS documentation, support FAT/SAT and on-site commissioning, validate fire alarm and security system designs, collaborate with suppliers, manufacturing, QA and commissioning teams. Data center or critical infrastructure experience preferred.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead a team of WFM capacity planners to deliver capacity modelling, forecasting, reporting and KPI management. Provide coaching, performance management, stakeholder collaboration, data analysis, process improvements, and presentations to drive WFM performance and align with company objectives.

Work with enterprise customers to design, build, and deploy production-grade AI solutions on the Cogentiq platform. Implement integrations with enterprise systems, develop connectors, backend services, and microservices, ensure scalability, security and observability, troubleshoot deployments, and turn deployment learnings into reusable platform capabilities.

Build trusted client relationships and demonstrate Databricks solutions through hands-on evaluations, Spark programming, proofs of concept, workshops, and technical presentations. Advise customers on big data analytics, solution architecture, data engineering, cloud integrations, and business value. Author reference architectures, how-to guides, and demo applications while developing toward independent Solutions Architect responsibilities.

Design, build, test, and maintain scalable SaaS platform features and services. Participate in design and code reviews, troubleshoot production issues, improve reliability/security, mentor junior engineers, and collaborate across product, QA, and operations.

Lead architecture and technical design for enterprise SaaS and hybrid platforms. Drive secure, scalable, reliable implementations across distributed systems, mentor engineers, guide design and code reviews, improve engineering standards (CI/CD, testing, observability), and coordinate with product and cross-functional teams to deliver complex initiatives.

Design, develop, and support software solutions by overseeing database management and enhancing application environments while ensuring secure coding practices and operational effectiveness.

Lead data investigations, perform ETL and analytical modeling, provide insights and feasibility analyses to support sales and clients, develop/automate reporting and interfaces, and manage cross-functional analyst teams across Comscore product areas.

Leads QA strategy and a team of QA professionals while designing and implementing functional, automation, regression, smoke, API, performance, UAT, and ETL testing. Establishes test frameworks, plans, metrics, and processes; manages test execution, environments, data, defects, risks, reporting, and continuous improvement. Requires strong Java-based automation expertise, cross-functional collaboration, team development, and support for shifts or weekends as needed.

Manage strategic enterprise customer relationships, serving as the primary contact for technical support, training, issue resolution, and executive engagement. Partner with sales on account health, growth, and presales activities while advocating for customer needs internally. Apply data analytics, visualization, AI tools, and automation to improve reporting, insights, troubleshooting, and customer value. Support connectivity-focused products and regularly meet clients and attend company functions.

Designs and develops Java and Spring-based cloud-ready applications, REST/SOAP services, microservices, and APIs. Leads large technology initiatives, manages stakeholders, risks, deadlines, and geographically distributed teams. Works with Azure, RDBMS, DevOps, CI/CD, containerization, and frontend technologies including Angular and JavaScript. Develops reusable libraries, SDKs, interceptors, and pattern-based solutions while mentoring less experienced staff and driving technical improvements.

Develop data engineering and analytics solutions using Python, Snowflake, and AWS. Collaborate with analytics stakeholders to solve sophisticated problems, connect data to business strategy, and deliver measurable business value. The role requires strong analytical, technical, SQL, communication, and problem-solving skills, plus the ability to manage complex projects independently. Experience with large-scale datasets, relational and NoSQL databases, ETL tools, continuous integration, and Agile/Scrum is beneficial.

Hands-on developer role supporting the Site Scope platform: build and maintain React web and React Native mobile apps (offline SQLite), develop Node.js REST APIs with SQL Server and Sequelize, integrate AWS AI services and Snowflake, implement PDF/document pipelines, assist CI/CD deployments, troubleshoot integrations and authentication (Microsoft Entra/Okta), and support platform operations under Tech Lead guidance.

Responsible for software development lifecycle tasks including requirements engineering, system design, testing, and collaboration in international teams.

Lead solution design and delivery across Sales Cloud, Service Cloud, Data Cloud and Agentforce. Own architecture, integrations, data ingestion/identity, and build AI-powered Agentforce solutions. Mentor engineering teams, present technical decisions to stakeholders, and ensure data quality, reconciliation, and reporting integration with BI tools.

As a Java Tech Lead-VP, you will design and develop scalable software, manage technology programs, establish best practices, and lead engineering teams to ensure high-quality technology solutions.

Lead solution architecture and delivery across Salesforce Sales Cloud, Service Cloud, Data Cloud, and Agentforce. Design ingestion, identity resolution, Calculated Insights, segmentation and activations. Architect CPQ, case management, Omni-Channel, and Agentforce agents. Mentor engineers, produce SDDs and integration designs, present trade-offs to stakeholders, and govern data quality, reconciliation, and analytics integration with Power BI/Tableau. Support Marketing Cloud connector and deployment patterns where required.