Top SQL Jobs in Pune

Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.

Performs manual and automated QA testing for product features and bug fixes, including functional, security, performance, API, application, and regression testing. Develops test plans and cases, executes tests, analyzes results, reports defects, collaborates with product and development teams, and writes maintainable Playwright scripts in JavaScript. Requires basic SQL, Postman, Chrome DevTools, and Agile/Scrum experience.

Develop end-to-end classification and forecasting models, including data preparation, exploratory analysis, feature engineering, model training, tuning, evaluation, visualization, and deployment support. Collaborate with data and AI engineers on productionization, monitoring, dashboards, and reproducible documentation. Apply Python, SQL, classical machine learning, time-series modeling, cloud platforms, and business-focused analytics to solve problems such as demand forecasting and churn prediction.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.

Supports Nuveen’s CRM data quality and sales reporting operations by reviewing and correcting customer data, investigating data issues, maintaining data standards, coordinating vendor and stakeholder resolutions, and documenting requirements and testing. The role uses SQL and Excel, works with Broadridge Salesvision and Salesforce CRM, supports data governance, and provides training and customer-focused assistance to distribution teams.

Build and lead SigNoz’s customer success function from scratch. Own account segmentation, health scoring, retention and save plays, renewals, annual conversions, expansion, customer feedback, and gross and net revenue retention. Personally manage top accounts, negotiate commercial terms, coordinate escalations, and establish scalable playbooks and review systems. The role will eventually grow into leading the customer success team.

Processes mandatory and voluntary corporate actions across managed funds, equities, and fixed-interest products. Responsibilities include researching market information, allocating income, reconciling holdings and ledgers, managing controls and regulatory requirements, coordinating with clients and market participants, supporting system enhancements, testing releases, reporting operational metrics, and developing team members. The role requires financial markets experience, corporate actions expertise, SQL and market data tools, project delivery, strong communication, and high attention to detail.

Provide L1/L2 production support for financial applications, including incident triage, application and batch monitoring, troubleshooting, root-cause analysis, release support, and cloud application operations. Monitor alerts, job schedules, databases, APIs, and infrastructure; coordinate escalations and stakeholder communications; support deployments, disaster recovery, audits, and continuous service improvement. The role includes on-call, night, weekend, and 24x7 rotational support.

Provides 24x7 L1/L2 production support for wealth management applications. Responsibilities include application, API, batch, and infrastructure monitoring; incident triage; log analysis; troubleshooting; smoke testing; deployment validation; job scheduling; SQL-based data updates; root-cause analysis; documentation; disaster recovery exercises; stakeholder communication; and escalation to development, infrastructure, and database teams. The role requires occasional night, weekend, and on-call support.

Analyze business and customer data to identify trends, drivers, and opportunities. Build Power BI or Tableau dashboards, define KPIs, perform ad-hoc and root-cause analysis, validate data quality, and communicate actionable insights. Collaborate with business, technology, and data teams while documenting analytical methodologies, reporting logic, and KPI definitions.

Build Gather AI’s data foundation from scratch by creating PostgreSQL extraction pipelines, dbt models, semantic metrics, data quality controls, tenant isolation, lineage, and documentation. The role includes warehouse data movement, ingestion-boundary validation, CI/CD delivery, safe backfills, on-call ownership, and collaboration across product, ML, security, and integration teams. Engineers will initially support the Drone product and later expand the platform to additional robotics and warehouse products.

Provides L1 production and application support for Wealth Management platforms, including Salesforce and Microsoft technologies. Responsibilities include incident triage, application and batch monitoring, troubleshooting, user access management, release support, job scheduling, root-cause analysis, escalation, reporting, disaster recovery documentation, and coordination with technology, vendor, business, audit, and compliance teams. The role includes rotating coverage, on-call, night, weekend, and 24x7 support responsibilities.

Provides L1 production support for financial applications and enterprise data platforms. Responsibilities include monitoring ETL jobs, data pipelines, batch schedules, alerts, and incidents; troubleshooting data quality, reconciliation, ingestion, reporting, and application issues; performing SQL-based data updates, smoke testing, root-cause analysis, and impact assessment; coordinating with technical and business teams; escalating complex issues; supporting disaster recovery, audits, automation, and continuous service improvement.

Designs and deploys Oracle Cloud integrations, BI Publisher reports, and Visual Builder applications. Develops secure OIC integrations with Oracle Fusion and third-party systems, creates complex SQL/PLSQL-driven BIP data models and templates, and builds responsive VBCS extensions using REST APIs and Redwood patterns. Responsibilities include testing, debugging, performance tuning, and production support across OIC, BIP, and VBCS.

Develop software solutions for Mastercard's fraud prevention platform, participate in design and development tasks, and mentor team members while ensuring high quality and performance standards.

Designs, experiments with, deploys, monitors, and evaluates machine learning models. Requires full-stack development involving Python, React, AWS, APIs, and SQL, along with statistical and probabilistic foundations. The role supports AI/ML initiatives in a consulting environment serving financial services and energy clients.

Analyze structured and unstructured data to identify trends, build dashboards and reports, define KPIs, validate data quality, and provide actionable recommendations. The role requires SQL, BI visualization, Excel, relational database experience, and collaboration with business and technical stakeholders. Preferred skills include Python, ETL and data warehousing, cloud platforms, statistical analysis, forecasting, machine learning concepts, and Agile experience.

Design and maintain analytical pipelines and reporting solutions using BigQuery and MariaDB. Develop Python and FastAPI tooling, APIs, and automation; write advanced SQL; apply AI/ML capabilities; document data architecture and lineage; and translate complex analysis into actionable business insights. Collaborate across departments on process improvements and independently own analytics projects end to end.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

Designs, develops, and supports scalable Azure-based data platforms, ETL/ELT pipelines, SQL Server databases, Python integrations, REST API connections, and automation solutions. The role includes troubleshooting production issues, improving data quality and performance, documenting systems, gathering requirements, and collaborating with international stakeholders. The engineer may also support Azure AI integrations and serverless solutions while contributing to architecture and platform improvements.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Build, maintain, and optimize enterprise data platforms using Databricks, Spark, cloud technologies, and DevOps practices. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, troubleshoot incidents, and ensure reliable, secure, and scalable data services. Participate in rotational production support across global time zones, perform root cause analysis, maintain operational documentation, and collaborate with engineering, architecture, product, and business teams.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Develops, tests, implements, and maintains software applications and frameworks across multiple platforms. Leads application design, feature delivery, system upgrades, migrations, testing, troubleshooting, documentation, and process improvements. Provides Level 3 support, recommends architecture and security improvements, ensures code quality, collaborates with QA and technology partners, and mentors less experienced engineers.

Senior Oracle DBA focused on performance engineering and database modernization. Lead architecture and optimization efforts across development lifecycle, implement CI/CD and deployment tooling, migrate and modernize read-optimized databases, troubleshoot and tune queries, and mentor engineering teams to adopt performance-aware practices and modern data patterns.