Top SQL Jobs in Pune

Develop and maintain Java and Spring Boot backend services, REST APIs, and microservices. Support Kubernetes migration, Docker deployments, CI/CD execution, testing, troubleshooting, application enhancements, and production issue investigation. Collaborate with developers, SDET engineers, and technical leads in Agile sprint delivery. The role requires hands-on experience with Java, Spring, Kubernetes, databases, unit testing, and backend integrations, with payments, Kafka, Helm, and cloud experience preferred.

Lead Java backend modernization and Kubernetes migration initiatives. Design and develop resilient microservices, REST APIs, integrations, and deployment strategies. Provide technical leadership, conduct design and code reviews, oversee CI/CD and containerized deployments, coordinate regional releases, optimize performance, manage observability, and troubleshoot production issues while ensuring secure coding, testing, and engineering standards.

Design and maintain Java-based test automation frameworks for Spring Boot microservices. Own API, integration, regression, and end-to-end testing, validate applications in Kubernetes and Docker environments, and integrate automated tests into CI/CD pipelines. Perform database, contract, resilience, deployment, and production-readiness testing while collaborating with development and platform teams to resolve defects and improve test coverage and reliability.

Build and maintain reliable, scalable Java and Go backend microservices for a cloud-native SaaS identity analytics product. Responsibilities include designing APIs, implementing features, writing unit and end-to-end tests, conducting code reviews, supporting AWS infrastructure, collaborating with stakeholders, leading small projects, participating in on-call support, and troubleshooting escalated system issues.

Build and maintain large-scale data platforms, databases, ETL pipelines, and data solutions. Develop optimized SQL, Spark, Kafka, and streaming processes; support data analysts and scientists; perform large-scale extraction and analysis; improve data quality, modeling, architecture, automation, security, and deployment. Collaborate with stakeholders on requirements, investigations, root-cause analysis, and production data artifacts.

Develop and maintain Java-based payment platform solutions in a globally distributed Agile/SAFe environment. Responsibilities include backend development, Oracle database work, frontend collaboration, production support, reliability improvement, testing, automation, defect resolution, and adherence to enterprise security and engineering standards.

Develop and maintain Oracle database solutions for high-availability payment platforms. Write complex PL/SQL, tune SQL performance, support data modeling, migration, quality, and ETL processes, and manage production reliability. Implement automated database deployment and release pipelines while collaborating with distributed Agile teams. Contribute to application development, defect resolution, automation, engineering improvements, and enterprise standards. Experience with Exadata, Java, test automation, and financial services is desirable.

Develop and maintain Java-based backend solutions for mission-critical payment platforms. Collaborate with distributed Scrum teams in a SAFe environment, support production systems, resolve defects, improve reliability, and contribute to automation and engineering best practices. The role requires Java, Oracle, Spring Boot, testing frameworks, SQL, frontend familiarity, DevOps tooling, and experience with Agile delivery. REST, messaging, event-driven systems, security, payments, and high-availability platforms are desirable.

Design, develop, and maintain scalable ETL pipelines, data-processing platforms, backend services, APIs, and cloud-native applications using Java, Spark, AWS, and related technologies. Ensure data quality, security, performance, monitoring, and operational excellence. Contribute to CI/CD, automation, production support, Agile development, and technical leadership while collaborating with cross-functional teams.

Develop and maintain Java backend services and Spring Batch processing systems. Design scalable batch jobs, ETL workflows, scheduling, fault-tolerant processing, REST APIs, and microservices. Integrate databases, APIs, messaging systems, and enterprise platforms while optimizing performance, implementing monitoring and security, reviewing code, documenting solutions, and collaborating with product, architecture, QA, and DevOps teams.

Designs, develops, and maintains scalable batch and streaming data pipelines using Python, Scala, Spark, and Databricks. Responsibilities include optimizing large-scale data workloads, building ETL/ELT processes, modeling data warehouses and lakes, implementing data quality and governance standards, troubleshooting production issues, and collaborating with architects, analysts, and data scientists.

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 and support integration solutions using IBM App Connect Enterprise and Azure. Responsibilities include participating in the SDLC, designing APIs and middleware services, analyzing requirements, conducting design and code reviews, supporting QA and UAT, troubleshooting production issues, documenting solutions, and contributing to CI/CD operations. The role also requires stakeholder collaboration, adherence to IT controls, and delivery across multiple projects.

Leads architecture, design, development, and maintenance of secure, scalable software and platform solutions for embedded insurance. Designs microservices and REST APIs, builds Azure cloud-native backend services, manages containerized deployments, optimizes SQL databases, and integrates data platforms. Collaborates with architects, product owners, DevOps, QA, business stakeholders, and global delivery teams in an Agile environment. Provides technical leadership across countries and insurance products while ensuring availability, security, documentation, and alignment with enterprise standards.

Develop and support full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; writing and reviewing code; developing CRUD APIs and microservices; supporting production incidents; participating in Agile planning and user-story refinement; and deploying applications in cloud environments. The role requires collaboration with product, Scrum, and architecture teams and hands-on experience with Java, React or Angular, SQL, Kubernetes, messaging systems, and cloud platforms.

Develops, deploys, operates, and troubleshoots scalable, low-latency fraud decisioning services across AWS, Kubernetes, cloud, and on-premise environments. Builds CI/CD pipelines, improves observability and reliability, supports production incidents, automates infrastructure, collaborates in Agile Scrum teams, and delivers secure software and technical documentation. The role also incorporates AI-driven incident analysis, anomaly detection, and intelligent CI/CD automation.

Leads architecture, development, and operational support for scalable transaction lookup APIs and data services. Designs Java microservices, optimizes Oracle and big-data platforms, establishes API and security standards, and drives Kubernetes modernization, CI/CD, observability, reliability, and performance improvements. Partners with product and engineering teams, leads technical design and incident resolution, defines roadmaps, mentors engineers, and promotes engineering excellence across initiatives.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

Develop and maintain scalable, reliable backend microservices and REST/GraphQL APIs for SailPoint’s cloud-native identity security SaaS platform. Responsibilities include API strategy, system design, Java development, testing, code reviews, cloud deployment, stakeholder collaboration, production support, and leading small projects. The role also involves working with AWS, event-driven architecture, observability tools, and multi-tenant systems while mentoring less experienced engineers.

Performs data profiling, validation, quality testing, anomaly detection, pipeline monitoring, and quality reporting across cloud and on-premises environments. Builds validation rules and data quality artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with data lakes, data warehouses, datamarts, and enterprise data platforms.

Build and maintain cloud or on-premises ETL/ELT pipelines for large-scale structured and unstructured data processing. Ensure data quality, security, and compliance while collaborating with business, technology, operations, governance, architecture, data science, DevOps, and BI teams. The role requires expertise in big data frameworks, Azure services, distributed databases, data warehouses, data marts, and data lakes.

The Data Analyst develops production-grade data and analytics solutions by translating business needs into functional requirements, analyzing and validating data, and contributing to architecture, governance, modeling, quality, engineering, and data science initiatives. The role independently leads solution design and estimation, collaborates with business and technology stakeholders, mentors analysts, and applies SQL, big data, cloud, and data storage expertise to solve complex business problems.

Partner with cross-functional teams to design and execute quantitative analyses, experiments, forecasting, and visualizations that influence product and business strategy. Translate data into stories and actionable recommendations, measure impact, and present findings to senior leadership.

Leads the design, development, and maintenance of scalable batch and real-time data pipelines across Azure and on-premises environments. Builds production-grade ETL/ELT solutions, optimizes performance and reliability, ensures data quality and compliance, and solves complex business problems. Collaborates with business and technology stakeholders, leads solution design and estimation, and coaches data and analytics talent.

Leads and mentors software engineering teams developing scalable Java applications and microservices for high-volume card payment platforms. Owns architecture, design quality, cloud modernization, Agile delivery, operational excellence, security, and production reliability. Manages hiring, performance, career development, risks, dependencies, and cross-functional coordination while solving complex payment processing and settlement issues.