Top SQL Jobs in Pune

Develop and maintain enterprise Power BI dashboards, semantic models, and executive reporting solutions. Build advanced DAX measures, implement Row-Level and Object-Level Security, optimize report and SQL performance, troubleshoot reporting environments, and manage solutions through deployment and support. The role collaborates with data and analytics teams, participates in Agile delivery and UAT, documents technical solutions, and contributes to scalable reporting improvements.

Leads enterprise Power BI development, including semantic modeling, dimensional data warehousing, DAX, dashboards, performance optimization, and security implementation. Serves as the Power BI subject matter expert, mentors developers, resolves complex technical issues, supports reporting transformation, and contributes to analytics architecture. Collaborates with global data engineering and reporting teams using Azure Synapse Analytics, NetSuite, and advanced SQL in an Agile environment.

Maintain and support Oracle Cloud HCM, Payroll, Time and Absence, and Recruiting modules. Manage enhancements, bug fixes, configurations, reports, interfaces, security roles, quarterly release testing, incident resolution, documentation, user training, and stakeholder requirements. Collaborate with Oracle support and implementation partners while helping develop a roadmap for process improvements and platform enhancements.

Develops and maintains business intelligence reports, dashboards, data models, and visualizations using Power BI, DAX, SQL, and enterprise data platforms. Extracts, transforms, validates, and analyzes data to generate actionable insights and support decision-making. Collaborates with stakeholders to gather reporting requirements, communicates findings, supports data governance, and improves reporting processes through automation and emerging technologies.

Build and deploy production AI automations across accounting, compliance, sales, marketing, HR, and finance. The role covers discovery, coding, deployment, monitoring, debugging, support, ROI measurement, and business handover. The engineer will develop LLM-based systems, integrations, agents, and workflows using Python, APIs, databases, warehouses, and business tools. They will partner with non-technical stakeholders, independently own systems end to end, train business users, maintain infrastructure, and identify high-value automation opportunities.

Supports, maintains, monitors, and improves hardware, software, and network applications. Responsibilities include debugging, coding, testing, deployments, production support, automation, configuration changes, performance and reliability improvements, issue resolution, and collaboration with product owners and business partners. The role also requires documenting solutions, eliminating inefficient processes, and continuously developing technical and domain expertise.

Build and maintain cloud data architectures, ETL pipelines, data warehouses, and data lakes. Develop scalable processing and analysis algorithms, ensure data quality, security, governance, and accessibility, and collaborate with data scientists to deploy machine learning models. The role requires advanced SQL, cloud platforms, big data technologies, dimensional modeling, automation scripting, and enterprise ETL experience. It also involves technical problem-solving, stakeholder communication, risk management, and potentially leading a team.

Owns end-to-end accounting and controllership across US and UK entities, including month-end close, consolidations, AP, reconciliations, tax and VAT compliance, and audit readiness. The role also drives accounting automation, SQL-based financial analysis, BI reporting, SaaS metrics tracking, budgeting support, and process improvement while partnering with leadership, auditors, and external advisors.

Leads architecture, development, and delivery of enterprise data and digital platforms across asset servicing. Oversees full-stack engineering, cloud-native systems, data platforms, integrations, security, governance, and large-scale technology programs. Builds and mentors global engineering teams, manages concurrent initiatives, partners with senior stakeholders, and drives scalable solutions using modern architectures, Azure, Snowflake, Java, Python, React, microservices, and Kubernetes.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

Architects and implements enterprise integrations using Oracle Integration Cloud across Oracle Fusion SaaS, Oracle EBS, and third-party systems. Configures adapters, develops process automations and Visual Builder extensions, manages bulk data integrations, and establishes governance, monitoring, error handling, and replay capabilities. Provides Tier-3 production support, root-cause analysis, and technical mentorship while contributing to middleware migrations and DevOps automation.

Drive the Trading API and Alpaca Connect Marketplace roadmap, including partner onboarding, app discovery, OAuth experiences, and platform utilities. Define product strategy and requirements, analyze customer behavior and ROI, own product metrics, optimize acquisition and retention funnels, and lead go-to-market initiatives that increase adoption, trading volume, and revenue. Collaborate with engineering, design, data, marketing, sales, partnerships, and operations.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Provide technical support for Twilio customers and partners using email infrastructure, APIs, SDKs, and cloud solutions. Troubleshoot complex connectivity, security, protocol, and platform issues; communicate solutions to technical and non-technical audiences; collaborate with Product and Engineering teams through Slack and JIRA; document knowledge and identify product improvements. The role supports EMEA customers on rotating shifts that may include weekends and requires occasional travel.

Executes manual, regression, UAT, and automated tests for platform features. Maintains regression suites, validates Selenium scripts, documents defects in Azure DevOps, supports test sign-off, coordinates automation work, and communicates results to Scrum teams and business stakeholders. The role also promotes responsible adoption and validation of AI-enabled testing tools.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

Develop and support enterprise Power BI dashboards, reports, semantic models, and data transformations. Build advanced DAX and Power Query solutions, integrate Python for processing and analytics, optimize performance, implement security and governance, and manage Power BI Service deployment and refresh processes. Collaborate remotely with business and technical stakeholders during EST hours, document solutions, participate in peer reviews, and improve development standards.

Analyzes sales performance, targets, trends, customer demographics, and market opportunities to support forecasting, budgeting, sales planning, and strategic decisions. Ensures consistent data collection and reporting, manages projects for the Sales Management Office, monitors variances, and supervises junior staff.

Lead business intelligence and analytics for the Revenue Organization, partnering with Sales, Marketing, Customer Success, RevOps, and Finance. Own KPI frameworks, executive dashboards, self-service reporting, advanced SQL analysis, data quality, and analytical requirements. Enable stakeholders to use data and AI effectively, integrate LLM tools into BI workflows, support data modeling and governance, and manage analytics projects from requirements through adoption.

Build and improve full-stack APIs, microservices, database models, and frontend experiences for enterprise government software. Own features from problem definition through production monitoring, collaborate with Product and Design, and develop AI-powered workflows and user experiences. Use AI-assisted coding tools, review human- and AI-generated code, mentor teammates, improve engineering processes, and work directly with customers in a fast-paced SaaS environment.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

Develop and maintain SAP ABAP solutions, customizations, reports, workflows, and integrations. Build SAP data extraction and integration pipelines using ODP, CDS Views, OData, and SAP Datasphere. Translate business requirements, especially SAP SD processes, into scalable technical solutions and integrate SAP data with cloud platforms. Collaborate with functional consultants, data engineers, stakeholders, and external partners while independently resolving technical issues and strengthening internal SAP capabilities.

Develops, upgrades, integrates, commissions, and supports complex broadcast and OTT systems across on-premise and cloud environments. Responsibilities include third-party system integration, coding and scripting, technical design, deployment planning, acceptance testing, documentation, performance planning, audit reporting, and staff training. The role also supervises associate engineers and requires expertise in Windows and Linux servers, networking, databases, API testing, and broadcast or digital media environments.

Build and deploy production-ready Generative AI and LLM applications, including RAG systems, chatbots, copilots, intelligent automation, and agentic workflows. Develop Python backend services, integrate LLM APIs, optimize model quality and performance, implement evaluation and guardrails, and troubleshoot deployed systems. Collaborate with engineering, product, operations, and business teams in a globally distributed environment while translating AI capabilities into scalable production solutions.

Analyze courier supply and dispatch operations across onboarding, retention, availability, earnings, assignment, acceptance, and delivery success. Build reliable metrics, dashboards, and self-service reporting; identify root causes of performance changes; evaluate experiments, incentives, and product initiatives; validate data quality; and translate findings into recommendations for product, operations, and leadership.