Top SQL Jobs in Pune

Build scalable, high-performance backend systems using primarily Golang and Python. Own features end to end, contribute to distributed microservices architecture and system design, develop event-driven components for high-volume messaging and e-commerce workloads, conduct code reviews, troubleshoot production issues, support CI/CD deployments, and document technical specifications and APIs.

Build production-grade agentic AI systems that reason, search, and execute workflows. Develop RAG pipelines, AI agents, semantic search layers, data processing solutions, dimensional data models, and scalable AI workloads. Work with structured and unstructured data, LLMs, vector databases, cloud infrastructure, CI/CD, and ML observability. Responsibilities include fine-tuning models, prompt engineering, optimizing context windows, and deploying reliable AI applications.

Build, monitor, optimize, and maintain ETL/ELT pipelines using Google Cloud technologies. Develop complex SQL transformations, design dimensional data models, improve query performance and cloud cost efficiency, and ensure data integrity. Collaborate with analysts and stakeholders to translate SaaS and insurance metrics into technical solutions. Participate in code reviews, documentation, troubleshooting, and data warehouse lifecycle management while supporting US business hours.

Own the technical infrastructure supporting a large-scale camera and sensor data ingest pipeline. Build and maintain ingest stations, tooling, hardware fleets, quality controls, media lifecycle standards, inventory processes, and reporting. Troubleshoot failures, ensure data integrity and chain of custody, automate workflows with Python and shell scripts, train operators, document procedures, and support field deployments.

Develop and enhance commercial applications, primarily DocuSign CLM, GoTransverse, and ServicePath. Translate stakeholder requirements into scalable features, integrations, prototypes, and documentation. Perform comprehensive testing, troubleshoot applications, maintain security, and support enterprise platforms involving billing, CPQ, Salesforce, Workday, and quote-to-cash processes. Collaborate with global cross-functional teams while managing priorities in agile and waterfall environments.

Designs and operates Databricks data platforms, pipelines, workflows, CI/CD processes, and cloud infrastructure on Azure. Responsibilities include cluster and workspace management, automated testing, Infrastructure as Code, access controls, FinOps, Airflow orchestration, monitoring, incident response, and reusable Terraform and Databricks templates. The role also improves platform reliability, security, developer productivity, and production code promotion processes while partnering with engineering, architecture, and security teams.

Lead major incident response and set technical direction for site reliability engineering across NVIDIA’s enterprise platforms. Design and operate distributed, Kubernetes-based cloud infrastructure; build automation, observability, self-healing systems, and AI-assisted incident tooling. Drive root cause analysis, SLOs, error budgets, and systemic reliability improvements. Partner with Cloud, Platform, Security, and AI/ML teams, mentor engineers, influence architecture, and communicate with executives during critical incidents.

Develops and validates clinical data visualizations, dashboards, tables, listings, and reports using SAS and business intelligence tools. Extracts, integrates, transforms, and analyzes clinical and operational data from EDC and other sources to support data review, reconciliation, quality control, and site performance monitoring. Gathers stakeholder requirements, trains users, supports workflow automation, maintains documentation, and ensures compliance with SOPs and regulatory guidelines.

Investigate and resolve customer-reported issues from ticket intake through resolution. Reproduce problems, identify root causes, develop workarounds, and communicate clearly with customers. Integrate front-end applications with REST APIs and backend services, write maintainable code, and apply ERP and business-process knowledge to system requirements. The role also requires analytical debugging, collaboration, and basic familiarity with AI/ML and LLM technologies.

Provide second-level production support and development for Oracle Applications. Analyze incidents, defects, and service requests; troubleshoot modules, interfaces, workflows, reports, and database objects; perform root-cause analysis; and implement corrective actions. Translate business requirements into technical specifications, support testing and deployments, and collaborate with business users, functional teams, technical teams, and Oracle vendors to maintain system stability and continuous improvement.

Develop high-quality software solutions for Mastercard's Decision Management Platform, focussing on fraud prevention and cardholder identity verification. Responsibilities include SDLC management, design collaboration, and mentoring other team members.

Administer global sales compensation programs, including commission calculations, transaction validation, plan configuration, quota and territory alignment, reporting, accrual support, audits, and dispute resolution. The role analyzes commission trends, maintains compensation systems, improves automation, supports implementations and testing, and collaborates with Sales Operations, HR, Finance, Accounting, and Order Management.

Designs and executes functional and non-functional testing strategies for Salesforce applications across Sales Cloud, Service Cloud, and Experience Cloud. Creates automated test scripts, conducts performance, load, stress, volume, and scalability testing, and performs API testing. Collaborates with cross-functional teams on requirements, acceptance criteria, code reviews, defect resolution, and root-cause analysis. Supports CI/CD integration, risk controls, continuous improvement, and technical quality across Agile and DevOps delivery environments.

Develop full-stack software solutions across backend services, APIs, frontend applications, integrations, and infrastructure components. Lead complex features from architecture and design through delivery, contribute to scalable distributed systems, and build new products. Work with .NET, Angular, databases, microservices, containers, CI/CD, automation, and deployment workflows while solving complex problems independently and collaboratively.

Design, develop, and maintain scalable Microsoft Fabric and Azure data solutions. Build Lakehouse, Data Warehouse, OneLake, ETL/ELT pipelines, data transformations, and integrations using Python, PySpark, SQL, and Fabric tools. Implement medallion architecture, optimize data models and workloads, establish data quality monitoring, and support CI/CD deployments. Collaborate with analytics and business teams to deliver enterprise-scale data platforms.

Develop scalable enterprise applications and REST APIs using Python or .NET/C#, integrate Azure and Microsoft Fabric services, build SQL-based data and ETL/ELT solutions, and support Lakehouse, OneLake, and Data Warehouse architectures. Integrate LLMs and RAG capabilities into enterprise applications, troubleshoot application and data-pipeline issues, and collaborate with product, data, AI, and business teams. Backend and integration development are the primary focus, with working knowledge of modern front-end frameworks expected.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Deploy and configure Kinaxis Maestro production scheduling solutions, gather and document customer requirements, perform data integration and validation, train end users, provide technical support, and assist with solution testing. The role translates supply chain requirements into software specifications, supports complex customer implementations, collaborates with agile teams, and mentors junior consultants.

The Senior QA Engineer designs and maintains automated test scripts and frameworks, performs functional, regression, and exploratory testing, validates requirements, manages test data and defects, and supports CI/CD release readiness. The role collaborates with Product, Business Analysis, and Engineering teams in an Agile environment to ensure reliable web applications, APIs, and back-end services.

Develop and execute manual and automated tests for complex ERP software, including test plans, cases, scenarios, and scripts. Collaborate with product managers, developers, and stakeholders to define test objectives, analyze results, identify coverage gaps, and improve QA processes. Support software quality across the SDLC using Agile practices, defect lifecycle management, CI/CD tools, version control, and build management.

Design, build and maintain scalable, secure Java-based microservices and deployment pipelines. Collaborate with product, design and engineering peers, implement DevSecOps practices, messaging (Kafka/MQ), SQL/NoSQL tuning, and unit/integration testing. Lead or advise teams, ensure code quality, resilience patterns, and alignment with business objectives.

Designs and executes manual and automated tests for enterprise applications, including functional, regression, integration, UAT, API, and database testing. Develops test scripts, maintains QA documentation, tracks defects in Azure DevOps or Jira, validates data integrity, prepares execution reports, and supports quality improvements across the SDLC. The role may also contribute to performance, security, load, data migration, ETL, and middleware integration testing.

Supports ERP implementation and client systems by developing, optimizing, and maintaining SQL queries, stored procedures, database objects, and SSIS/SSRS reports. Assists with database performance tuning, data pipelines, and data-driven solutions, including AI/ML-based features. Collaborates with global clients across multiple time zones while developing technical skills through mentorship.

Designs, develops, tests, deploys, and supports Oracle ERP Cloud integrations using OIC and BIP. Builds outbound and payment-related reporting solutions, creates reusable integration frameworks, optimizes SQL, data models, templates, integrations, and reports, and troubleshoots production issues. Supports technical design, SIT/UAT, deployments, and enterprise integration standards while explaining architecture and implementation decisions.

Support Zuora Billing implementations, configurations, enhancements, integrations, and production issues. Translate business requirements into technical solutions, troubleshoot platform problems, and collaborate with business and technical stakeholders on CRM, payment, subscription, invoicing, and payment workflows.