Top SQL Jobs in Pune

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Develop quantitative models for cryptocurrency derivatives and spot markets, conduct statistical and econometric analysis, build pricing and risk models, and backtest systematic trading strategies. Collaborate with trading and product teams to validate and deploy models, monitor performance, analyze high-frequency data, and communicate research insights to leadership and trading desks.

Develop and maintain Salesforce CRM solutions, integrations, custom applications, automation, and digital experience sites. Build Apex, Lightning, Visualforce, and Flow functionality; perform testing, deployments, code reviews, production support, documentation, and bug fixes. Collaborate across departments, enforce engineering standards, and mentor junior Salesforce engineers. Integrate Salesforce with platforms including HubSpot, Oracle, DocuSign, Conga, and other applications.

Build and own full-stack products end to end, from requirements gathering with operational teams through design, development, deployment, instrumentation, and iteration. Develop GenAI capabilities using LLMs, agents, RAG, and workflow automation. Manage reliability through testing, code review, production support, and technical debt reduction. Collaborate clearly with nontechnical stakeholders, and at senior levels lead ambiguous projects and mentor engineers.

Develop audience segments, customer profiles, and predictive models using behavioral, transactional, viewing, and digital data. Apply statistical and machine learning methods for clustering, churn, propensity, content affinity, and customer value analysis. Conduct exploratory analysis, evaluate models, support campaign measurement, and translate findings into business recommendations. Collaborate with Marketing, Product, Media Sales, and Content teams while presenting insights to technical and non-technical stakeholders.

Manage global software license and royalty compliance audits from planning through reporting. Lead data analysis, client interviews, deliverable preparation, project milestones, and cross-functional engagements. Advise clients on licensing risks, process improvements, and audit methodologies while supervising, mentoring, and recruiting staff. Build client relationships, support sales pursuits, develop operational policies, and manage multiple projects across international teams and time zones.

Analyze marketing, website, and product data to improve user experience, conversion rates, and business performance. Build dashboards, monitor KPIs, optimize funnels and customer journeys, lead A/B testing and CRO initiatives, and maintain accurate tracking frameworks. Partner with marketing, product, engineering, and leadership teams to deliver actionable recommendations. Ensure data quality through validation, troubleshooting, and reconciliation across multiple sources.

Own strategy, roadmap, discovery, prioritization, and execution for Call Intelligence products. Translate call data, transcripts, and AI-generated insights into analytics and workflows that improve appointment conversion, staff performance, and revenue for healthcare practices. Partner with engineering, data, ML, design, and go-to-market teams to define metrics, run experiments, improve adoption, and deliver reliable AI-assisted products across distributed India and U.S. teams.

Develops, configures, customizes, and supports Zoho CRM and related enterprise CRM solutions. Responsibilities include scripting with Deluge and JavaScript, building REST API integrations, automating workflows, creating reports and dashboards, supporting data migrations, troubleshooting systems, and maintaining development, test, and production environments. The role collaborates with architects, analysts, and business stakeholders to deliver scalable CRM solutions across multiple companies.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

Leads technical delivery for IBM i and Power Systems managed services and projects. Responsibilities include security, performance optimization, patch and PTF management, upgrades, migrations, automation, high availability, disaster recovery, infrastructure architecture, and client advisory work. The role also supports modernization, managed services, pre-sales solutioning, vendor coordination, and client-facing execution planning.

Build scalable data pipelines and ETL/ELT processes using modern data platforms. Perform exploratory analysis, validate data, develop models supporting analytics and real-time insights, and collaborate with data science, product, engineering, and customer success teams. Write tested Python code, contribute to data quality initiatives, and deliver end-to-end features in an agile environment.

Build scalable data pipelines and ETL/ELT processes using Python and modern data platforms. Perform exploratory analysis, validate data, develop data models, and support analytics and real-time insights. Collaborate with data scientists, analysts, engineers, and product teams while delivering tested, reliable features. The role also contributes to data quality policies, processes, scorecards, and product operations reporting.

Develop, train, deploy, and maintain machine learning and generative AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Design scalable ETL pipelines, optimize databases, process large datasets with Spark and Snowflake, and create business visualizations. The role requires expertise across Python, SQL, cloud AI platforms, machine learning frameworks, databases, and data engineering.

Lead technical presales engagements across Southeast Asia, supporting customers and channel partners. Responsibilities include requirements gathering, solution presentations, demonstrations, RFI/RFP responses, proof-of-concepts, technical workshops, solution evaluations, functional specifications, partner enablement, and first-level evaluation support. The role requires strong IAM and cybersecurity expertise, knowledge of relevant protocols and infrastructure technologies, excellent communication skills, and international travel.

Build and own high-throughput backend services for a multi-channel messaging platform. Responsibilities include designing Node.js and Go microservices, optimizing SQL and NoSQL data layers, building queueing, caching, and rate-limiting systems, instrumenting production services, resolving incidents, writing design documents and tests, and mentoring engineers. The role focuses on distributed systems, reliability, scalability, and AI-assisted engineering.

Designs and maintains dbt Core data models and scalable Snowflake transformation pipelines. Responsibilities include SQL development, performance tuning, testing, documentation, version control, CI/CD practices, and translating business requirements into technical schemas. The consultant collaborates with analysts, business leads, project managers, and engineers while progressively delivering work independently across client projects.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

Performs manual and automated software testing, including functional, regression, smoke, and sanity testing. Designs test cases, executes UFT/QTP and VBScript automation scripts, tracks defects in HP ALM/Quality Center, validates data with SQL, and prepares test reports and documentation. Collaborates with analysts, developers, and QA teams during requirements reviews and defect triage. Supports system implementation, testing, debugging, and user training.

Configure, implement, administer, and customize NetSuite ERP solutions. Responsibilities include data migration, requirements gathering, SuiteScript development, workflows, forms, reports, integrations, testing, bundle installation, and client communication. The role supports both new implementations and existing NetSuite customers, requiring experience with OneWorld, Celigo, SDF deployments, advanced PDF templates, JavaScript, and web services.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code quality.

Develop and execute comprehensive software testing strategies, including automated test scripts and test plans. Collaborate with developers and cross-functional teams on requirements, acceptance criteria, code reviews, root-cause analysis, and defect resolution. Help improve software quality, reliability, secure coding, unit testing, infrastructure, and deployment pipelines using modern backend, database, DevSecOps, cloud, messaging, and AI-assisted development technologies. The role also includes technical leadership, risk management, stakeholder influence, and team collaboration.

Develops advanced SQL queries, stored procedures, views, and functions to support business analysis and reporting. The role translates stakeholder requirements into analytical outputs, investigates data discrepancies, identifies relationships across complex databases, and performs root-cause analysis. Responsibilities include validating data, supporting dashboards, documenting business logic, and communicating findings. The position requires independent problem-solving with limited direction and collaboration with business stakeholders.

Build the company’s central AI intelligence engine by integrating product, CRM, marketing, and support data. Develop scalable APIs, middleware, webhooks, agentic workflows, RAG systems, and LLM-powered applications. Ensure AI outputs are grounded, evaluated, secure, and governed. Collaborate on data pipelines and use SQL and cloud data warehouses to support reliable real-time automation across business functions.

Designs, develops, and operates enterprise automation and AI-enabled solutions using ServiceNow, Power Platform, machine learning, and agentic AI. Builds workflows, portals, applications, integrations, and CSM solutions; supports platform modernization, governance, security, testing, and production stability. Provides technical leadership, troubleshooting, vendor coordination, stakeholder collaboration, and team coaching while driving adoption of emerging automation technologies.