Top SQL Jobs in Pune

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Lead data science efforts by analyzing large datasets, developing and deploying ML models, building scalable data pipelines, designing experiments (A/B testing), creating visualizations, and mentoring junior team members to drive data-driven decisions.

Design, build, and operate scalable batch and real-time data pipelines and analytics platforms. Partner with enterprise customers to define requirements, own technical delivery from discovery to adoption, and present architectures to stakeholders. Drive data governance, observability, CI/CD, and platform optimization while mentoring junior engineers and collaborating with Product, Engineering, and Customer Success teams to enable analytics and AI/ML applications.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

Design and implement pharmaceutical sales incentive compensation plans, including forecasting, goal setting, simulations, payout calculations, scorecards, and call planning. Analyze sales data using Python, SQL, and Excel to evaluate performance and generate reports. Lead operational teams, manage client deliverables, improve processes, mentor team members, and support commercial operations compliance and best practices.

Lead design, architecture, and delivery of enterprise GenAI and automation solutions (RAG, agentic and multi-agent systems) using Azure, Power Platform, Python and related technologies; establish standards, reusable frameworks, govern models, mentor teams, and drive adoption with stakeholders.

Design, build, and maintain high-traffic SaaS systems across a PHP backend, Lucee-rendered pages, and React/TypeScript frontends. Lead code reviews, mentor engineers, drive modernization, troubleshoot production issues, and contribute to architecture, quality, and security practices.

Lead design, architecture, and delivery of enterprise-scale AI and automation solutions (GenAI, agentic AI, RAG). Drive strategy, build reusable frameworks, mentor teams, govern model use, and partner with stakeholders to transform business processes into intelligent autonomous workflows.

Design, build, and maintain HR reports and OTBI dashboards; analyze workforce metrics (headcount, turnover, retention); ensure HR data quality and governance; partner with HR leaders to deliver insights, automation, and training to support strategic workforce planning.

Design, build, test, and deploy AI-augmented automation solutions and intelligent document processing using Python, .NET/C#, SQL, LLMs, RAG pipelines, and Azure AI services. Develop reusable automation components, conversational agents, and API/event-driven workflows; ensure testing, monitoring, governance, and responsible AI practices; troubleshoot production issues and collaborate with product, platform, and business teams.

Design, build, test, and deploy AI-augmented and workflow automation solutions using LLMs, RAG pipelines, OCR/document intelligence, and conversational agents. Collaborate with product, platform, and business teams, ensure security and AI governance, perform testing and monitoring, troubleshoot production issues, and maintain documentation and compliance.

Provide end-to-end support for the EnCore ERP platform focused on plant-floor workflows, production scheduling, inventory, and order-to-cash. Troubleshoot application, database, and system issues using SQL, logs, and diagnostics; own cases, create KB content, coordinate cross-team escalations, and assist with testing, upgrades, and off-hours incident support for customers in North America and Europe.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Audit claim and denial work for accuracy across human and AI outputs, build and maintain QA scorecards and dashboards, design rule-based quality checks, identify root causes and coach billing teams, and surface reproducible AI error patterns to Product and Engineering.

Design, build, and maintain manual and automated end-to-end tests for front-end and back-end APIs. Use Cucumber BDD, Postman, Jenkins, and SQL to validate functionality, data integrity, and performance across cloud-native and big-data environments (GCP/BigQuery). Integrate tests into CI/CD pipelines, track defects in Jira, and collaborate with cross-functional Agile teams to ensure continuous quality.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Install, configure, upgrade, and maintain Windows Server applications across SIT/UAT/PROD/DR. Manage Microsoft SQL Server (DB/user management, tuning, scripts), IIS deployments, MSMQ and integration components. Handle service accounts, Active Directory, firewall rules, SFTP connectivity. Produce installation guides, migration runbooks, and technical documentation. Troubleshoot performance and connectivity issues and communicate with clients.

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

Develop, test, and deploy Java/Scala microservices for supply-chain-finance modules. Build Spark batch/streaming jobs, design Kafka event pipelines, integrate bank/ERP systems via Talend/REST, and produce Jasper reports. Maintain Kubernetes deployments, ensure ≥80% unit-test coverage, troubleshoot via Elasticsearch and Prometheus/Grafana.

Design, build, test, and operate Java/Scala microservices and Spark batch/streaming jobs for invoice processing, funder allocation, settlement and reporting. Implement Kafka event pipelines, integrate bank/ERP connectors, create Jasper reports, maintain Kubernetes manifests, and troubleshoot production using Elasticsearch and Prometheus/Grafana within Agile teams.

Lead design, build, and deployment of scalable machine learning models using Python, SQL, and ML/DL frameworks. Process and train models on large datasets with Spark/Databricks/Hadoop, automate pipelines with Airflow and AWS EMR, and integrate models into AWS cloud applications. Drive end-to-end experiments, optimize pipelines and queries, and deliver production-grade, high-impact data science solutions.

The IT Applications Analyst Principal leads the design and enhancement of Blue Yonder WMS solutions, ensuring reliability and performance in distribution centers while mentoring junior staff.

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.