Top SQL Jobs in Pune

Design and develop data-driven solutions and scalable data pipelines using Python and SQL. Leverage Azure data products to build robust, secure architectures, ensuring data integrity, performance, and governance while supporting data-centric client projects.

Lead end-to-end treasury engagements: run discovery and requirements workshops, design solutions, configure and implement treasury software, deliver training, and provide post-go-live support. Apply deep treasury, cash management, accounting, and financial instruments knowledge while managing stakeholders.

Design, develop, and maintain enterprise web applications using Oracle APEX and modern web technologies. Build and optimize complex SQL/PLSQL, configure ORDS and web servers, integrate RESTful APIs with ERP and third-party systems, enforce security and role-based access, troubleshoot performance, and document solutions while collaborating with stakeholders.

Design, develop, test, and maintain scalable full‑stack healthcare applications using .NET, modern frontend frameworks, GraphQL, serverless cloud (AWS/Azure) and microservices. Ensure HIPAA compliance, integrate rules engines, optimize search with OpenSearch, mentor junior engineers, and stay current with healthcare and technology trends.

Develop and support multi-asset investment tools including portfolio optimization, monitoring, trade building/routing, QC processing, automation, and overnight batch job support. Collaborate with researchers and PMs, own projects end-to-end from design to deployment, and build dashboards and workflows to support systematic strategies.

Design, build, and deploy scalable AI/ML solutions using Azure OpenAI and related Azure services; lead end-to-end projects, implement RAG and LLM integrations, ensure CI/CD and secure API/data practices, and collaborate across global teams.

Design, build, and deploy machine learning models for a payments platform, overseeing end-to-end solutions and experimentation, while monitoring models in production.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

As a Strategic Projects Lead, you will manage high-impact AI data initiatives, optimize operations, and enhance customer relationships while collaborating with various teams to drive revenue growth.

Manage automation in Trade Processing and Pricing by developing ETL integrations, enhancing operational workflows, and collaborating with various teams to improve data quality and processes.

The Technical Architect designs and manages Salesforce solutions, collaborates with clients, oversees project delivery, leads technical sessions, and ensures quality standards.

The Senior Data Engineer will build and optimize ETL/ELT data pipelines using Azure Databricks and Apache Spark, ensure data governance, and collaborate with stakeholders to translate business needs into data engineering solutions.

Lead automation and analytics for internal audit: design Power BI dashboards, data analytics, and AI/RPA pilots to enhance SOX testing, control validation, anomaly detection, and continuous monitoring. Liaise with IT, business, and external auditors; coach team members; support remediation and audit transformation.

Oversees the full lifecycle of software engineering projects, leading teams, managing deliverables, and ensuring adherence to industry best practices and KPIs while utilizing innovative engineering tools.

Lead offensive and defensive security engineering for a threat-hunting product: emulate attackers, perform threat research, design workflows, validate detection accuracy, run penetration tests and simulations, collaborate with data science, and guide product teams on security best practices.

Design and execute ETL test plans to validate extraction, transformation, and loading processes. Perform source-to-target SQL validations, data reconciliation, regression and integration testing, monitor ETL jobs, report defects, and collaborate with engineers and analysts to ensure data quality and governance.

Support GTM by maintaining HubSpot CRM hygiene, producing pipeline and funnel reports, administering GTM tooling, assisting forecasting, enabling sales (playbooks/onboarding), managing campaign/lead ops, and performing ad-hoc analyses for leadership.

Support senior portfolio managers by building and maintaining portfolio and fund-level financial models, preparing investor operational reports on weekly/monthly/quarterly cadences, identifying data discrepancies, improving reporting processes, and responding to investor requests and special projects for single-family residential joint ventures.

Lead design and delivery of end-to-end prototypes and production-ready solutions for emerging AI initiatives. Drive AI R&D, mentor engineers, establish engineering standards, communicate architecture to stakeholders, and enable rapid experimentation amid high ambiguity.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Lead technical design and delivery of personalization and recommendation backend services: architecture, model serving, low-latency APIs, event-driven integrations, LLM/AI integration, observability, performance optimization, and technical mentorship across teams to enable real-time, data-driven consumer experiences.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Administer and support Microsoft 365 productivity platforms, resolve escalated technical issues, design permanent solutions and automations, lead projects, deliver trainings, create reports, and collaborate across teams to improve service stability.

Design, develop, and optimize large-scale PySpark ETL/ELT pipelines on Databricks. Implement Delta Lake lakehouse architectures, tune Spark jobs, write complex SQL, monitor production, enable CI/CD, mentor junior engineers, and collaborate with stakeholders on scalable data solutions.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.