Top SQL Jobs in Pune

Design and implement high-performance Single Page Applications and UI components; integrate and architect Spring Boot RESTful APIs; collaborate with data scientists, architects and test engineers; write maintainable, testable, and secure code; build data-visualization dashboards; verify features and manage tasks through the SDLC.

Design, build, and operate tools and systems to deploy and scale applications and data across hybrid cloud and physical environments. Support platform reliability, CI/CD pipelines, logging, monitoring, vulnerability detection, and hundreds of data pipelines. Collaborate with data engineering teams and troubleshoot complex system, network, and application issues.

Lead SRE work to design, deploy, operate, and automate platform services. Improve CI/CD, monitor availability, perform capacity planning, run incident response and postmortems, support deployments, mentor juniors, and participate in on-call rotations.

Lead development of Mastercard's high-performance decision management platform: design, implement, and maintain J2EE-based REST services, troubleshoot production incidents, produce technical artifacts, guide SDLC quality practices, mentor engineers, participate in PoCs and vendor selection, and ensure solutions meet SLAs.

Lead architecture and hands-on development of high-performance, high-throughput payment services. Drive domain-driven design, CI/CD and DevOps practices, resilience and operational testing (A/B, canary, chaos), mentor engineers, consult across teams, and deliver secure, scalable cloud-native solutions while owning product/service experience and compliance.

Design, develop, and maintain automated test scripts and frameworks using Java and Selenium. Create and execute test plans, analyze results, identify defects, and collaborate with developers. Perform functional, regression, integration, and end-to-end testing, support CI/CD automated test execution, and participate in requirement reviews to ensure test coverage and quality in an Agile environment.

Designs, develops, and debugs software for diverse products, ensuring quality through testing and tracking progress in collaboration with stakeholders.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

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.

Design, build, and maintain high-performance Java-based microservices and utilities. Implement secure, scalable solutions with automated testing, CI/CD, monitoring, and containerization. Mentor engineers, collaborate with cross-functional teams and architects, act as SME for initiatives, and ensure compliant, efficient SDLC and excellent developer experience.

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

Lead delivery of user stories for Certificate and Privileged Access Management platforms: refine requirements, design, code, test, and implement solutions; provide technical analysis, support, and subject-matter expertise; participate in reviews, CI/CD, and cross-team integration.

Design, build, and scale Coupa's SaaS platforms, balancing monolithic and microservice architectures. Collaborate with Product and Dev teams to deliver features, design and review implementations, and mentor engineers.

Design, build, and deploy ML and AI models using large structured and unstructured datasets. Develop and automate ETL/data pipelines, improve data quality, and create AI-enabled product features (NLP, deep learning, generative AI). Collaborate with product and engineering to productionize intelligent solutions that drive product usage and adoption.

Design, build, and deliver scalable full-stack web applications and data pipelines. Implement intuitive UIs, data models, and APIs; write and review performant, well-tested code; mentor junior engineers; collaborate with product and cross-regional teams to drive analytics products and process improvements.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

The Lead Software Engineer will define and implement an Enterprise Information Management ecosystem while leading software engineering projects, ensuring compliance, and enhancing information governance capabilities.

Develop advanced statistical models and leverage data analytics to guide decision-making. Communicate results effectively and mentor Associates. Experience in Pharma and real-world data analysis is preferred.

As a Business Technology Solutions Associate Consultant at ZS, you will lead data governance projects, manage data catalogs, and collaborate with clients to implement technology solutions for data management.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Design, build, and operate large-scale batch and streaming data pipelines using Spark (Scala/PySpark), Kafka, and NiFi; optimize performance, ensure data quality, integrate with object storage, support production systems, and contribute to platform reliability and best practices.

The Appian Architect will design and implement AI-driven process automation solutions, focusing on complex workflows and multi-agent orchestration, while providing technical leadership and ensuring compliance with governance standards.

The Senior Specialist will partner with Product Managers and engineers to analyze data, support product roadmaps, and enhance product delivery, leveraging analytics to track performance and identify opportunities.

Responsible for enhancing software development processes, driving Quality Engineering methodologies, and collaborating with developers to improve testing and release practices while ensuring high software quality.

Design, build, and operate large-scale data lakehouse platforms and data products. Partner with business and engineering teams to develop data pipelines, models, and governance; participate in agile ceremonies, architectural discussions, and CI/CD practices to ensure scalability, performance, and regulatory compliance.