Top SQL Jobs in Pune

Lead architecture, build, and optimize end-to-end scalable data platforms and Lakehouse solutions. Design large-scale Spark-based pipelines, Databricks/Delta Lake models, Redshift schemas, and Airflow orchestration. Mentor engineering teams, implement CI/CD (GitHub Actions), define data modeling standards, and collaborate with stakeholders to deliver analytics and AI-driven workflows.

Responsible for daily trading risk oversight for FX (VaR, limit monitoring, stress testing), P&L attribution, regulatory reporting, model performance analysis, and integration of analytics with IT. Liaise with trading desks, treasury, audit, compliance and model validation; support projects, controls, and ad-hoc risk requests.

Design, develop, and execute test strategies and automated test scripts; collaborate with cross-functional teams to identify and resolve defects; drive test governance, reporting, and continuous improvement of automation frameworks and QA processes.

Provide oversight and production of client and regulatory reports (MiFID II, CTI, PLSA), manage client onboarding and queries, coordinate with AB India production, ensure SLAs and quality controls, support automation and custom reporting (Vermillion), and assist on projects and documentation.

Lead design and implementation of scalable data engineering and analytics platforms; build and deploy predictive models and GenAI solutions; mentor engineers; drive data governance, CI/CD, and cross-functional initiatives with finance and business stakeholders.

Lead SDET designs and implements test strategies and automated test suites (UI and API), collaborates with cross-functional teams, performs root cause analysis, integrates tests into CI/CD pipelines, mentors peers, and ensures test documentation and quality standards for delivery.

The role involves building and maintaining infrastructure for data systems, focusing on database migration to PostgreSQL, performance tuning, and automation of processes. Collaboration with cross-functional teams and documentation is key. The position emphasizes incident management and security measures.

The Senior Software Engineer will develop a next-generation data platform, improving the Analytics platform, while using distributed architecture and writing testable .NET code.

Lead development, calibration, and operationalization of Market Mix Models (MMM). Build data pipelines, integrate experiments, quantify channel ROI and elasticity, recommend budget allocation via optimization engines, and communicate insights to marketing and senior stakeholders while ensuring reproducibility and continuous model improvement.

Design and implement test strategies and automation frameworks using Tosca and other tools. Build functional, regression, performance, and data-integrity tests, manage test environments, collaborate with dev and business teams, provide QA training and governance, perform root-cause analysis and contribute to testability and architectural improvements.

Serve as internal technical consultant configuring and deploying Xactly incentive compensation solutions across global instances. Develop scalable Xactly Extend apps, govern data models and security, support admins and analytics, resolve compensation disputes, calculate commissions, generate payroll files, and partner cross-functionally to drive sales compensation operational excellence.

Design, develop, test, and deploy JD Edwards EnterpriseOne/World customizations, reports, and integrations using Orchestrator/AIS, BSSV, REST/SOAP, OMW, RDA, FDA, TDA, C/C++ BSFNs, and ER/NER. Build UDOs (E1 Pages, CafeOne), diagnose production issues, perform root cause analysis, resolve support tickets, and produce technical specifications from functional requirements. Support package builds, deployments, version control, and stakeholder communication.

Lead a 15+ person analytics team to build customer-understanding models (segmentation, propensity, risk stratification, KOL identification, content-affinity) and data products powering commercial activation. Translate business questions into validated ML/statistical solutions, orchestrate cross-functional pods, prioritize work with business units, and drive GenAI and analytics innovation across pharma commercial datasets (claims, EMR, Rx, CRM).

Lead build, governance, and deployment of commercial AI-enabled measurement products (PromoFit, GAIN, GATOR). Drive demand intake, roadmap execution, cross-functional delivery, compliance, adoption, and value tracking while partnering with Product, Data Science, Engineering, and Risk teams.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

Design, develop, and maintain scalable backend services and RESTful APIs using Java and Spring Boot. Build microservices, integrate with Oracle databases, and connect frontend apps (Angular/React). Implement secure coding, unit/integration testing, CI/CD, containerization, and event-driven communication (Kafka). Collaborate cross-functionally, participate in code reviews, and potentially lead and mentor a team.

Seeking a Full Stack Developer to design, develop, and improve software, ensuring high-quality delivery through collaboration and secure coding practices.

Design, develop and deliver scalable, secure software and deployment pipelines. Collaborate cross-functionally, perform code reviews, apply unit testing and secure coding practices, and drive platform and infrastructure improvements using cloud-native and container technologies.

Seeking a Lead Automation Engineer with expertise in Blue Prism and Python to architect AI-augmented SDLC, manage bots, and refactor legacy code.

The role involves leading automation engineering projects using Blue Prism and Python, focusing on architecting AI-augmented SDLC, refactoring code, and optimizing legacy systems for financial services.

The Lead Auto QA Engineer will develop test scripts, analyze regression failures, debug script issues, and enhance regression coverage within the financial services sector.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

The role involves designing and developing high-quality software solutions, collaborating with teams, ensuring secure coding, and leading complex tasks and teams.

Design, develop, and deliver scalable, secure full-stack software using Java and Spring. Collaborate with product, design, and engineering peers, perform code reviews, implement unit testing and CI practices, monitor performance and security, and mentor colleagues while aligning solutions with business objectives.