Top SQL Jobs in Pune

Manage and maintain Oracle databases on Exadata and Oracle Cloud, perform installation, configuration, backup/recovery (RMAN, Data Guard, GoldenGate), RAC/ASM/Grid setup, performance tuning, security, capacity planning, DR recoveries, 24x7 support, patching, and documentation.

Provide L2 technical support for the inSPire platform: investigate escalations, write and manage defect tickets, coordinate change approvals, perform API and data forensics, maintain demo/test environments, and communicate status to stakeholders while working with product and engineering teams.

Senior Business Analyst for Capital Markets Report Hub: elicit, document and validate business requirements; create and own Jira user stories and acceptance criteria; engage clients and engineering; support delivery, functional testing, process modelling, and client handover; ensure regulatory reporting requirements are addressed.

The role involves designing and optimizing data pipelines using Databricks, leading a data engineering team, and ensuring data quality and compliance.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

As a Senior QA Automation Engineer, you will develop and maintain automated tests for web applications, perform manual testing, validate integrations, and create documentation while analyzing issues in a remote work environment.

Lead design, development, and deployment of scalable ML models and MLOps infrastructure on AWS (SageMaker). Build recommendation, fraud, and credit risk systems; implement monitoring, observability, CI/CD, and production support; mentor engineers and collaborate with product teams to deliver AI-driven features.

Develop and maintain data architectures, pipelines, warehouses and lakes; design processing and analysis algorithms; integrate systems (REST/SOAP); collaborate with data scientists on ML deployments; lead or mentor team members and ensure secure, performant solutions delivered in Agile projects.

Design, build and maintain data pipelines, warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or guide teams, ensure data quality, security and compliance, and partner with stakeholders to deliver data solutions.

Designs, builds and maintains data pipelines, warehouses and lakes; implements processing algorithms; collaborates with data scientists to deploy ML models; leads/supervises teams and ensures data quality, security and compliance.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

As a Backend Engineer, you will collaborate in cross-functional teams to deliver software features, develop high-quality code, and ensure product quality and security, utilizing technologies like Java, GCP, and Spring.

The Technical Product Owner collaborates with teams to develop product strategies, manage features, and ensure product performance. They analyze ATM operations, guide technical solutions, and align business and technology stakeholders.

Design, develop, and support software solutions by overseeing database management and enhancing application environments while ensuring secure coding practices and operational effectiveness.

Design and develop scalable software solutions using React.js and Java. Collaborate cross-functionally, ensure code quality, and promote secure coding practices.

Provide advanced technical support for Business Hub and Analytics Platform: troubleshoot application, system, and integration issues; analyze logs and SQL data; work with identity providers and cloud/Kubernetes/JVM environments; collaborate with development teams; improve support processes and participate in on-call rotations.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

Lead end-to-end analytics for credit and risk use cases: extract and aggregate large datasets, run advanced analyses, build Tableau dashboards, deliver insights to stakeholders, and mentor junior analysts to drive data-led decisions.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

Design, develop, and maintain Java applications and microservices (Spring Boot/Hibernate). Build RESTful APIs, optimize performance, troubleshoot issues, write and review clean code, integrate third-party APIs, document work, and participate in Agile/Scrum ceremonies.

The role involves owning AI-powered product features, designing LLM systems, making architecture decisions, and connecting engineering work to business outcomes, with a focus on independent ownership and domain understanding.

As a Full Stack Developer, you will design, develop, and maintain secure web applications, work on both front-end and back-end, and collaborate with cross-functional teams.

Responsible for Testing and Validation of Ethernovia's software, including designing test cases, implementing test strategies, and adhering to functional safety practices.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.