Top SQL Jobs in Pune

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Provides technical customer support for Ocient products across cloud and on-premises environments. Responsibilities include handling high-volume tickets, on-call support, issue triage, root-cause analysis, troubleshooting distributed systems, validating issues and features with Engineering, and assisting Level I support engineers. Requires database administration, SQL, Linux/Unix, system administration, log analysis, networking, scripting, and infrastructure experience.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Develop and maintain industrial desktop software using C# and .NET, including user interfaces, business logic, databases, APIs, dashboards, and data visualization. Integrate applications with PLC-driven systems, industrial data platforms, and engineering workflows. Troubleshoot software and database issues, participate in testing and code reviews, document solutions, and collaborate with multidisciplinary engineering teams on modernization and digitalization initiatives.

Design, develop, test, debug, and support a microservice-based SaaS platform in Azure. Build and deploy NestJS microservices on Kubernetes, write unit tests using TDD, contribute to architecture and technical standards, collaborate in an Agile environment, refine and estimate user stories, and provide technical platform support. The role also involves optimizing SQL and NoSQL databases and configuring Auth0 and API gateway integrations.

Designs, develops, and supports global digital Quality Management System applications using Microsoft Power Platform. Builds Power Apps, SharePoint structures, Power Automate workflows, and integrations with ERP, data lake, and reporting systems. Translates quality and operational requirements into scalable tools supporting CAPA, 8D, audits, supplier quality, and complaints. Ensures data governance, security, and performance while supporting global deployments, training, documentation, troubleshooting, and continuous process improvement.

Own the Salesforce platform and broader integration architecture end to end. Design data models, integrations, automations, custom Apex and LWC solutions, deployments, CI/CD pipelines, and Git-based change control. Apply AI-assisted development using Claude and related tools with rigorous review, testing, and controlled releases. Lead technical delivery for developers and QA testers, manage sprint flow and debugging, translate business requirements into technical solutions, and establish platform engineering standards across the technology ecosystem.

Designs and maintains API and UI automation using Karate, validates backend data with DynamoDB, Redshift, and SQL, and integrates testing into GitHub Actions and CI/CD pipelines. Performs manual, integration, regression, and release testing; validates IoT data flows and system integrations; investigates defects; documents test artifacts; and collaborates with engineering, business, and customer teams to improve quality and automation coverage.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Build and scale resilient backend APIs, libraries, and services for digital asset financial products. Own features from design through deployment and customer integration, document functionality, collaborate across engineering teams, and mentor peers through code reviews and best practices. The role requires backend development expertise, database and API design experience, microservices knowledge, testing, on-call participation, and coordination with global stakeholders.

Develop and maintain Go-based backend services for a cloud-agnostic SaaS backup storage platform. Build integrations with Microsoft 365, Google Workspace, and Salesforce APIs; develop scalable data-processing capabilities; write unit and integration tests; troubleshoot production issues; participate in architecture and code reviews; and collaborate with DevOps on deployments, monitoring, operational readiness, and on-call support.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Design, develop, deploy, and maintain scalable Windows and web API applications using Microsoft technologies, Azure, WinForms, C#, ASP.NET, MVC, and Web API. Translate business requirements into technical designs, ensure application performance and security, collaborate in Agile Scrum teams, and guide development best practices. The role also involves database development, testing with xUnit, and potentially CI/CD, infrastructure as code, and AI tooling.

Develop statistical and machine learning models to optimize Akamai’s global mapping service. Analyze massive telemetry streams, build predictive observability tools and automated data pipelines, define reliability metrics, investigate outages, and guide architecture and technology investment decisions. Collaborate with product engineers and communicate complex quantitative insights to technical and executive stakeholders.

Designs, builds, and maintains scalable data pipelines and ETL/ELT processes using Snowflake and Databricks. Collaborates with architects, analysts, and clients to deliver cloud data solutions; optimizes performance and cost; implements data quality monitoring; supports migrations and integrations; maintains documentation; provides technical guidance; and ensures data governance, security, and privacy compliance.

Lead governance and administration for the Microsoft Fabric environment. Define and enforce data governance, security, access controls, compliance, and workspace hygiene. Monitor Fabric capacity, jobs, and environment health while implementing proactive alerting. Automate security and maintenance tasks using APIs, scripts, and notebooks. Develop operational dashboards and compliance reports, and manage enterprise data governance across Microsoft Fabric and Azure.

Manage Microsoft Fabric governance, security, access controls, capacity, job monitoring, compliance, and workspace hygiene. Implement data policies across Fabric and Azure, automate administrative and security tasks with APIs, scripts, and notebooks, and create operational dashboards, alerts, and compliance reports. Requires enterprise-scale data governance experience and hands-on expertise with Fabric administration, OneLake, Purview, Power BI, and security controls.

Owns end-to-end technical onboarding and production support for global payout partners. Responsibilities include API review, environment setup, credential exchange, certification, corridor configuration, field mapping, validation, testing, SLA monitoring, failure resolution, escalation management, and cross-functional coordination. The role translates payment rail requirements into integration specifications and identifies recurring issues for platform roadmap improvements.

Design, build, and optimize scalable batch and streaming data pipelines on GCP and AWS. Develop ETL/ELT frameworks using SQL, Python, and Apache Beam; optimize BigQuery performance and costs; implement data quality, validation, monitoring, governance, lineage, and metadata tracking; and automate deployments through CI/CD. Collaborate with analytics, product, engineering, and business teams to deliver reliable data solutions for reporting and advanced analytics.

Manage end-to-end telecom billing and payment operations, including billing cycles, collections, adjustments, refunds, disputes, chargebacks, notifications, and debt recovery. Investigate production issues, execute operational procedures, support testing and releases, publish operational reports, and drive process improvements. Collaborate across Engineering, Product, Finance, Customer Operations, and external partners while participating in a 24/7 on-call rotation.

Extracts, transforms, and analyzes media measurement data to identify insights, test hypotheses, and answer client and stakeholder questions. Leads data investigations, develops analytical solutions, supports sales feasibility reviews, and contributes to reporting tools and automation. Collaborates across teams, formulates technical approaches to open-ended problems, and improves analytical workflows using SQL, Python or R, ETL tools, cloud technologies, and Excel.

Build and maintain secure, scalable data pipelines, warehouses, and lakes. Design distributed processing architectures using AWS and Hadoop technologies, develop ETL and analytical solutions, and collaborate with data scientists on machine learning deployment. The role also involves technical design, advanced SQL and programming, stakeholder partnership, risk management, and potentially leading and developing a team.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.