Top SQL Jobs in Pune

Lead quality engineering for scalable, cloud-native microservices. Develop manual and automated tests, maintain test harnesses, integrate testing into CI/CD, configure application environments, validate functionality across operating systems and databases, and partner with developers to diagnose defects. Champion automation and testing standards, improve execution reliability and coverage, collaborate with product and engineering leadership, and mentor team members. The role also requires using AI-assisted engineering tools and frameworks to improve delivery and product quality.

Develop and maintain manual and automated tests for scalable, cloud-native microservices and enterprise software. Own test planning, functional, regression, and integration validation; integrate automation into CI/CD pipelines; configure test environments; analyze metrics; reproduce and triage defects; and ensure coverage across operating systems and databases. Champion testing best practices, improve automation reliability, collaborate with engineering and product teams, and mentor other test engineers.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build enterprise applications, optimize transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Lead software engineer responsible for designing, developing, testing, deploying, and maintaining scalable Java-based software solutions. Owns the full software development lifecycle, including requirements, architecture, test strategy, performance benchmarking, release planning, production support, incident management, and root-cause remediation. Evaluates technologies, contributes to proof-of-concepts, promotes quality and process improvements, and collaborates with globally distributed development teams.

Leads software engineering projects, develops complex software solutions, researches technical alternatives, and guides daily development activities. Responsibilities include programming, proof-of-concept development, roadmap creation, quality and process adherence, third-party evaluation, and collaboration with business and technical stakeholders. Requires strong Java-stack expertise, relational database and SQL skills, software design knowledge, Agile experience, and the ability to lead distributed teams.

Design, develop, test, and support scalable Java microservices, APIs, and cloud-native backend systems. Build Kafka-based event-driven architectures, deploy applications using PCF and containers, and contribute to architecture reviews. Drive quality through automated testing, code reviews, secure coding, and DevOps practices. Resolve production issues, improve reliability, collaborate across teams, and use AI-assisted development tools. Mentor engineers and support secure, high-volume payment solutions.

Designs, builds, maintains, monitors, and optimizes scalable ETL/ELT pipelines for structured and unstructured data across Azure and on-premises environments. The role supports batch and real-time processing, data quality, security, compliance, and performance tuning. It collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams to deliver production-grade data and analytics solutions.

Leads the design, development, deployment, and support of scalable data pipelines and platforms across Hadoop, on-premises, and AWS cloud environments. Builds batch and near-real-time processing frameworks, modernizes ETL and data warehouse workloads, implements governance and observability capabilities, and troubleshoots production issues. Mentors engineers, collaborates with cross-functional stakeholders, evaluates emerging technologies, and ensures secure, high-quality delivery for enterprise-scale data ecosystems.

Develop and maintain full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; developing with React or Angular, Java, SQL, microservices, Kubernetes, and cloud platforms; participating in code reviews, testing, deployment, incident resolution, production support, Agile planning, and user-story refinement.

Designs and develops complex applications and systems from the ground up. Provides technical leadership across large projects, balancing technical solutions, business value, and operational simplicity. Builds CRUD APIs, integrations, microservices, and message-driven applications using JavaScript, Java, SQL, cloud platforms, Kubernetes, databases, and scripting technologies.

Build and maintain petabyte-scale data pipelines, entity-centric data models, and distributed workflows using Databricks and Spark. Partner with data science teams to productionize ML features and artifacts, optimize ETL/ELT processes, and implement testing, monitoring, observability, and incident response. Collaborate with governance and operations teams to ensure secure, compliant data management while supporting scalable merchant identity and trust-profile systems.

Build and enhance Ethoca products across the full software development lifecycle, including design, development, testing, deployment, configuration, and documentation. Develop scalable test automation frameworks, review quality solutions, promote shift-left practices, and contribute to architecture and design decisions. Collaborate with product and engineering teams, manage risks, integrate services, mentor engineers, and improve operational metrics. Work with microservices, distributed systems, cloud-native applications, APIs, CI/CD platforms, and data validation.

Develop and maintain high-availability payment systems in a SAFe Agile environment. Collaborate with distributed engineering teams, build and integrate applications across multiple technologies, support production systems, and improve reliability, automation, engineering practices, and delivery quality. The role requires Java and Spring Boot development, testing with TDD/BDD frameworks, frontend development, SQL and relational database experience, and effective cross-team collaboration.

Develop and maintain Alteryx automation workflows for data preparation, reconciliation, reporting, validation, and exception management. Design preventive and detective controls, document data lineage, investigate data-quality issues, and support testing, releases, production implementation, and remediation. Collaborate with technology, operations, risk, control owners, and data stakeholders to standardize processes, improve efficiency, and strengthen control effectiveness.

Build and operate production LLM systems, including prompt and pipeline versioning, evaluations, monitoring, observability, RAG and vector-store infrastructure, safety guardrails, and cost governance. Develop CI/CD and operational tooling for non-deterministic AI outputs, manage reliability and compliance requirements, and collaborate with engineering and product teams to turn AI prototypes into scalable, secure, cost-effective production systems.

Designs and implements technical security and risk solutions across cloud and enterprise environments. Translates compliance requirements into automated controls, guardrails, and resilient architectures; partners with engineering, cloud, platform, and SRE teams; evaluates control effectiveness through technical evidence; supports audits, remediation, security appliance management, patching, on-call operations, identity hardening, recovery environments, and infrastructure resilience.

Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.

Own delivery of shared data models and pipelines, lead migration from Hadoop and on-premises ETL to Databricks, manage cross-team dependencies, oversee vendors, maintain legacy platform commitments, and establish planning and reporting practices for a new technical team.

Owns the vision, roadmap, backlog, requirements, and launches for data platform products. Translates business and customer needs into technical features, user stories, and acceptance criteria; partners with engineering and technical program teams; monitors product performance, adoption, and operational health; manages documentation, prioritization, and post-launch feedback. The role also supports data quality, governance, analytics, stakeholder collaboration, mentoring, and hiring activities.

Design, build, and deploy AI and Generative AI solutions using LLMs, agent frameworks, and RAG. Develop scalable AI/ML pipelines, cloud-native integrations (Azure/Databricks/AWS), and MLOps/LLMOps deployments. Integrate AI with APIs, databases, and internal apps. Implement Responsible AI practices (bias detection, hallucination mitigation, explainability, safety guardrails). Monitor, test, and maintain production AI systems while staying current on Generative AI trends.

Leads the design and development of scalable Java backend applications using Spring Boot, microservices, and REST APIs. Provides architectural and technical leadership, mentors engineers, drives coding standards, and oversees initiatives from design through production support. Collaborates with product, architecture, QA, DevOps, and engineering teams while resolving complex technical issues and performance bottlenecks. Preferred experience includes payments or fintech, Kafka, databases, cloud platforms, Kubernetes, security, CI/CD, and mobile application backends.

Design and develop a scalable automated securities finance platform using Java, Spring, microservices, distributed systems, containers, SQL, AWS, messaging, and caching technologies. Build enterprise applications, optimize high-volume transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Lead Software Engineer responsible for developing, maintaining, and supporting high-availability payment platforms. The role involves Java backend development, Oracle database work, REST and event-driven integrations, production reliability, Agile delivery within SAFe, distributed team collaboration, testing, automation, and continuous improvement. Experience with Spring Boot, Angular, JavaScript, SQL, DevOps tools, and security mechanisms is required; payment or financial-services experience is preferred.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.