Top SQL Jobs in Pune

The Lead Software Engineer will define and implement an Enterprise Information Management ecosystem while leading software engineering projects, ensuring compliance, and enhancing information governance capabilities.

Provide technical guidance to Scrum teams building secure, scalable, highly available payments software. Design and develop .NET services and Angular applications, collaborate with architects and technical leads, own codebases, improve test coverage, troubleshoot issues, mentor team members, and contribute throughout the software delivery lifecycle using Agile practices.

Lead and manage the India Data Governance and Analytics consultant team; own data governance and data quality frameworks; deliver analytics, custom reporting, automation and modern data solutions; optimize SQL and drive automation across data processes; collaborate with product owners, technology teams and global partners.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

Lead strategy, architecture, and execution of finance systems and integrations (NetSuite, Celigo, Workato/Boomi, Salesforce, Workday). Build SOX-compliant controls, AI-driven automations, SLAs, and vendor partnerships. Partner with Accounting, FP&A, RevOps, HR, and IT to scale finance platforms for rapid growth and IPO readiness.

Responsible for enhancing software development processes, driving Quality Engineering methodologies, and collaborating with developers to improve testing and release practices while ensuring high software quality.

As a Senior Software Engineer, you'll own software delivery tasks, troubleshoot, refactor code, and participate in agile processes. You'll also assist peers, provide feedback, and ensure compliance with coding standards and security policies.

As a Software Engineer II in Quality Engineering, you will drive quality practices, collaborate with developers, enhance test automation, and ensure software reliability and performance in Agile environments.

The Appian Architect will design and implement AI-driven process automation solutions, focusing on complex workflows and multi-agent orchestration, while providing technical leadership and ensuring compliance with governance standards.

Design and implement scalable end-to-end data pipelines and storage schemas across cloud and on-prem platforms. Define reference architectures and engineering standards, ensure governance/security/compliance by design, optimize performance for large datasets, and mentor/lead global teams using Python/Java, SQL, Spark, Databricks, and related data platforms.

Design, build, and maintain enterprise-scale batch, streaming, and near-real-time data pipelines and platforms (Snowflake, Databricks, Spark). Ensure data quality, governance, security (PCI/PII), orchestration (Airflow, ADF, NiFi), secure file transfers, monitoring, and support for analytics and ML initiatives across global teams.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.

Leads enterprise Anaplan planning solutions across staff planning, forecasting, CCAR, income statement, workforce, and scenario modeling. Owns architecture, model building, Data Hub design, integrations, testing, deployment, governance, production support, controls, and data quality. Builds and mentors delivery teams, manages roadmaps and stakeholders, strengthens operational processes, and drives planning modernization, automation, analytics, and user adoption.

Develop and configure Xactly sales compensation capabilities, including commission plans, workflows, custom apps, integrations, reporting, and analytics. Govern data models, security, retention, deployments, and technical processes across multiple instances. Provide advanced support, root-cause analysis, and strategic project assistance while partnering with Sales, Sales Operations, Finance, HR, IT, and global stakeholders to improve sales performance and operational efficiency.

Designs, develops, and maintains automated testing frameworks for API, UI, and end-to-end testing. Creates test strategies, executes functional and non-functional tests, performs defect root-cause analysis, and collaborates with development, business, and QA teams. The role promotes quality engineering, code reviews, CI/CD integration, testing governance, risk management, and continuous improvement while supporting Location Strategy projects.

Lead the design, development, testing, deployment, and support of enterprise full-stack applications. Provide technical leadership across APIs, microservices, event-driven systems, cloud-native platforms, data layers, DevSecOps, CI/CD, automated testing, observability, and production support. Collaborate with architects, product teams, and stakeholders; drive technical decisions, governance, security, and engineering standards. Mentor engineers, promote continuous improvement, and guide delivery of scalable, secure, resilient software solutions.

Lead product strategy, roadmaps, and end-to-end lifecycle management across multiple product lines. Collaborate with engineering, design, operations, marketing, and sales to deliver scalable products and improve customer experience. Analyze market and customer insights, define product metrics, guide go-to-market strategy, and mentor product managers while driving experimentation, adoption, and operational efficiency.

Develop and support large-scale backend software projects using Node.js, databases, RESTful APIs, and modern web technologies. Responsibilities include system design, data modeling, query optimization, debugging, production maintenance, UI component development, security and performance optimization, and collaborative Agile/Scrum delivery. The role also involves client interaction, troubleshooting, documentation, and prioritizing work across cross-functional teams.

Leads backend-focused software development, including designing, coding, testing, debugging, deploying, and supporting large-scale applications. Develops RESTful APIs, manages databases, maintains production systems, and applies authentication, security, and performance practices. Builds supporting UI components using HTML, CSS, JavaScript, and Vue.js. Collaborates in Agile/Scrum teams, uses Git and JIRA, troubleshoots technical issues, communicates with stakeholders, and may mentor junior developers.

Designs and maintains conceptual, logical, and physical data models for enterprise data products. Translates business requirements into scalable, governed data structures; performs data discovery, profiling, mapping, and lineage documentation. Ensures data quality, privacy, auditability, and regulatory alignment. Collaborates with engineering, architecture, platform, and business stakeholders to deliver build-ready models and improve modeling standards. Supports data warehousing, modernization, migration, and Agile delivery initiatives.

Build and maintain backend services primarily with Java and Spring Boot, while supporting an Angular frontend. Design RESTful APIs, transition database-centric systems toward domain-driven architecture, and work with complex SQL, PostgreSQL, Oracle, JPA, and Hibernate on high-transaction platforms. Collaborate within cross-functional Agile squads to deliver scalable, high-quality features. Cloud, Docker, CI/CD, legacy modernization, and loyalty or fintech experience are advantageous.

Lead partner-focused pre-sales architecture for MongoDB Atlas: design scalable, secure cloud and hybrid solutions; advise partners and sellers; build joint offerings, demos, workshops, and reference architectures; support modern AI patterns (RAG, vector search); influence product roadmap; enable field teams and mentor peers.

Design and maintain scalable web and API automation frameworks using Java, REST Assured, and Playwright. Define automation strategy, improve test coverage and release reliability, validate microservices and frontend experiences, integrate testing into CI/CD pipelines, and mentor engineers on quality practices. The role requires independent technical direction and a shift-left testing mindset in a remote engineering environment.

Design, develop, and maintain Power BI dashboards, reports, and data models. Translate business requirements into scalable BI solutions using DAX and Power Query, ensuring data accuracy, performance, governance, and effective visualization. Collaborate with stakeholders and cross-functional teams, troubleshoot reporting issues, and provide actionable insights. SQL, cloud data platforms, data integration, and AI exposure are advantageous.