Top SQL Jobs in Pune

Supports database administration across testing, patch migration, access control, auditing, backups, disaster recovery, capacity planning, performance tuning, troubleshooting, and operational documentation. The role maintains database security, integrity, reliability, and performance while assisting experienced DBAs with production database systems and recovery exercises.

Designs and executes enterprise Salesforce and Data Cloud migrations, including ETL, schema and relationship mapping, unstructured data ingestion, high-volume API automation, validation, deduplication, and governance. Prepares clean, standardized, vectorized data for Agentforce and RAG workflows. Works with legacy databases, Salesforce integration tools, SQL, SOQL, and scripting languages to support complex consolidations and AI-ready data architectures.

Leads enterprise Salesforce data migration initiatives, including strategy, extraction, transformation, cleansing, relationship mapping, API-based loading, and validation. Migrates structured and unstructured data across Salesforce clouds and Data Cloud while supporting Agentforce and RAG readiness. Uses ETL tools, SQL, SOQL, scripting, and automation to process high-volume datasets, preserve data integrity, enforce governance, and meet Salesforce Trust Layer requirements.

Designs, develops, tests, and delivers secure, scalable full-stack cloud-native applications using Java, Spring Boot, modern UI frameworks, APIs, databases, and event-driven technologies. The role leads end-to-end delivery, CI/CD, observability, secure coding, code reviews, incident management, and continuous improvement. It collaborates with product and engineering stakeholders, supports sprint planning, maintains quality standards, and may guide team members while promoting technical excellence and AI-assisted development practices.

Build end-to-end data- and AI-driven applications across user interfaces, backend services, APIs, and data integrations. Develop prototypes and production-ready solutions, support analytics use cases, and collaborate with product, business, data, and platform teams. Responsibilities include implementing CI/CD, automated testing, monitoring, observability, security, troubleshooting, and operational support. The role requires full-stack development with React or Vue.js, JavaScript or TypeScript, backend services, SQL, cloud platforms, and DevOps practices.

Develop and maintain Java backend services, APIs, database integrations, and automated tests. Optimize schemas, queries, performance, scalability, and reliability while contributing to system design. Participate in code reviews, troubleshoot production issues, conduct root-cause analysis, and collaborate with cross-functional teams. Support enterprise systems implementation, cloud-native development, CI/CD, and supply chain planning or forecasting solutions.

Lead design, build and modernize enterprise data platforms and pipelines, migrate on-prem processing to AWS, ensure secure, high-quality data delivery, collaborate with data scientists on ML deployment, and provide strategic leadership or subject-matter expertise.

Design, build, and maintain scalable data pipelines, warehouses, and lakes; ensure data quality, security, and operational stability; collaborate with data scientists to deploy ML models; lead strategy, governance, and delivery for data modernization and regulatory requirements.

Leads high-performing data and AI engineering teams delivering scalable data products, analytics foundations, AI/ML capabilities, and reliable cloud platforms. Responsibilities include people leadership, stakeholder partnership, architecture governance, product delivery from prototype to production, data modeling and pipelines, AI-assisted development, DevOps/DataOps, security, observability, incident management, and continuous improvement.

Develop end-to-end full stack features using Java and Apache Kafka, covering user experience through backend services. Collaborate across teams, make technical decisions, mentor junior engineers, solve complex business problems, and improve development processes. The role requires RESTful API development, cloud technologies, front-end frameworks, and SQL or NoSQL database experience within a cloud-first, agile environment.

Develop end-to-end full-stack features using Java, Apache Kafka, RESTful APIs, front-end frameworks, and SQL or NoSQL databases. Collaborate across teams, make technical decisions, mentor junior engineers, provide solutions to complex problems, and continuously improve development processes using cloud-first and agile practices.

Develop and support SS&C Syncova margin calculation systems for global equities Prime Services. Responsibilities include implementing margin rules for swaps, integrating account, security, pricing, holdings, and market data feeds, extracting data for warehouses and downstream users, creating reports, and supporting production systems. The role requires collaboration with trading, operations, middle office, and technology teams, plus strong Java, SQL, Linux, testing, performance tuning, and financial-industry expertise.

Own end-to-end quality for a payroll platform through exploratory, manual, API, database, functional, regression, integration, and end-to-end testing. Build and maintain a Playwright automation framework using JavaScript or TypeScript, integrate tests into CI/CD pipelines, troubleshoot flaky tests, manage defects, and collaborate with engineering and product teams to improve coverage and product quality.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

Own day-to-day production support and administration for NetSuite and related finance systems, triage and resolve tickets, build AI agents and automation (Serval, v0), maintain controls and SOX readiness, support month-end close, and coordinate with vendors and IT/security for cross-system issues.

Design, develop, test, and deliver scalable, secure full-stack software solutions. Build Java and Spring Boot microservices, React front ends, APIs, database integrations, messaging systems, and containerized deployments. Collaborate with product, design, and engineering teams; participate in code reviews; apply secure coding and TDD practices; and support CI/CD and DevSecOps. The role also involves technical leadership, mentoring, risk management, stakeholder communication, and infrastructure and deployment pipeline improvements within a banking environment.

Perforce seeks a Senior Software Engineer for the Akana Sola mainframe API enablement product. The role involves developing and maintaining Java-based IDE and runtime components, REST/SOAP APIs, API gateway integrations, databases, and CI/CD pipelines. The engineer will learn COBOL, CICS, DB2, JCL, IBM MQ, and other mainframe technologies through mentorship. Responsibilities include enhancing legacy codebases, troubleshooting mission-critical customer issues, supporting demos and pre-sales conversations, collaborating in Agile teams, and participating in on-call support.

Develop and deliver scalable, maintainable full-stack software using Java, Spring Boot, Angular, databases, microservices, and secure coding practices. Collaborate with product managers, designers, and engineers; participate in code reviews; implement unit testing; and support DevSecOps infrastructure and deployment pipelines using OpenShift, Kubernetes, GitLab, and related tools. The role also involves technical leadership, stakeholder collaboration, risk management, continuous improvement, and evaluating AI-assisted rapid application development approaches.

Designs, develops, and maintains automated testing frameworks for API, UI, and end-to-end testing. Creates test strategies, executes automated tests, performs defect root-cause analysis, validates enterprise applications, and integrates testing into CI/CD pipelines. Collaborates with development, business, and QA teams, contributes to code reviews and testing governance, manages quality risks, and mentors engineers while promoting automation-first quality practices.

Leads the stability, scalability, and improvement of production AI and GenAI applications. Responsibilities include machine learning development, production issue resolution, customer onboarding, release management, governance and compliance, stakeholder communication, automation, mentoring, and evaluation of emerging AI technologies.

Provides first-level product and application support by troubleshooting user issues, reproducing problems, tracking bugs, coordinating resolutions, documenting FAQs, monitoring tickets, testing fixes, analyzing feedback, and preparing reports, dashboards, training materials, and knowledge-base content.

Leads client implementations of Xactly Incent and Quota, translating commission and quota requirements into scalable configurations. Responsibilities include workshops, functional and technical design, integrations, testing, reconciliation, reporting, go-live support, troubleshooting, stakeholder communication, delivery leadership, mentoring, and pre-sales support. Requires extensive incentive compensation experience, multiple full-cycle Xactly implementations, strong platform configuration and integration skills, analytical ability, and executive-level communication.

Design, build, and maintain data pipelines, warehouses and lakes; implement scalable ETL for batch and real-time processing; support data quality, testing, deployments, and ML model collaboration; lead or supervise team activities and ensure compliance and documentation.

Develop and prototype agentic AI and multi-agent systems for workflow automation. Integrate LLMs with RPA bots, APIs, and Power Automate flows; build, test, deploy, monitor, and optimize AI-RPA solutions. Translate business requirements into automated workflows while supporting scalability, compliance, responsible AI practices, and system integrations. The role requires collaboration with senior team members and continuous learning across AI and RPA technologies.