Top SQL Jobs in Pune

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.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Manage customer engagement, adoption, and churn risk for GoGuardian’s Curriculum and Instruction products. Analyze customer and product usage data, investigate root causes, support at-risk customers, and recommend actions. Partner with Customer Success, Product, Sales, Solutions Engineering, and Engineering to resolve issues, improve product experiences, validate workflows, and communicate customer insights. The role is remote in India with regular U.S. working-hours overlap.

Conduct application or network penetration testing, manually exploit vulnerabilities, research emerging threats, and document findings in professional security assessment reports. Lead client-facing engagement calls from kickoff through remediation reviews, explain critical findings, and provide reproduction steps and recommendations. Work independently and collaboratively using commercial and internally developed tools.

Build and operate scalable, low-latency APIs, event-driven services, integrations, and web applications supporting membership and loyalty experiences. Integrate and extend Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply distributed-systems, reliability, observability, and security practices; troubleshoot production issues; contribute to reusable engineering assets; and mentor junior engineers.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

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.

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.

Builds scalable ETL pipelines, cloud and data-lake integrations, and analytical tools supporting global supply chain planning and inventory optimization. Applies statistical methods, machine learning, AI-assisted development, and data visualization to portfolio segmentation, product lifecycle management, replenishment strategies, and decision support. Collaborates with stakeholders, leads complex data engineering projects, improves database performance, and promotes secure, governed, enterprise-wide data accessibility.

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.

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.

Designs and executes enterprise Salesforce and Data Cloud migrations, including ETL, schema and relationship mapping, unstructured data ingestion, high-volume API automation, validation, deduplication, and governance. Prepares clean, standardized, vectorized data for Agentforce and RAG workflows. Works with legacy databases, Salesforce integration tools, SQL, SOQL, and scripting languages to support complex consolidations and AI-ready data architectures.

Leads enterprise Salesforce data migration initiatives, including strategy, extraction, transformation, cleansing, relationship mapping, API-based loading, and validation. Migrates structured and unstructured data across Salesforce clouds and Data Cloud while supporting Agentforce and RAG readiness. Uses ETL tools, SQL, SOQL, scripting, and automation to process high-volume datasets, preserve data integrity, enforce governance, and meet Salesforce Trust Layer requirements.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, PySpark, Python, and SQL. Transform large datasets, optimize data ingestion and queries, monitor pipeline performance, resolve data quality issues, support data modeling, document engineering standards, and contribute to cloud data infrastructure improvements. The role also involves collaboration with architects and senior engineers and requires familiarity with Azure Synapse, Delta Lake, governance, and security.

Leads high-performing data and AI engineering teams delivering scalable data products, analytics foundations, AI/ML capabilities, and reliable cloud platforms. Responsibilities include people leadership, stakeholder partnership, architecture governance, product delivery from prototype to production, data modeling and pipelines, AI-assisted development, DevOps/DataOps, security, observability, incident management, and continuous improvement.

Own end-to-end quality for a payroll platform through exploratory, manual, API, database, functional, regression, integration, and end-to-end testing. Build and maintain a Playwright automation framework using JavaScript or TypeScript, integrate tests into CI/CD pipelines, troubleshoot flaky tests, manage defects, and collaborate with engineering and product teams to improve coverage and product quality.

Owns the growth roadmap for AI-driven products, leading initiatives from strategy through execution to improve revenue, adoption, acquisition, and activation. Designs data-driven experiments, analyzes product and operational metrics, defines success measures with leadership, and builds scalable growth systems and playbooks. Requires cross-functional collaboration with Product, Engineering, Operations, and GTM teams, strong autonomy, and availability during U.S. business hours.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Leads client implementations of Xactly Incent and Quota, translating commission and quota requirements into scalable configurations. Responsibilities include workshops, functional and technical design, integrations, testing, reconciliation, reporting, go-live support, troubleshooting, stakeholder communication, delivery leadership, mentoring, and pre-sales support. Requires extensive incentive compensation experience, multiple full-cycle Xactly implementations, strong platform configuration and integration skills, analytical ability, and executive-level communication.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, isolate defects, perform root-cause analysis, improve code coverage, validate compatibility across products and interfaces, and support CI/CD testing. The role includes code reviews, test reporting, delivery prioritization, corrective actions, and collaboration with engineering leadership and cross-functional teams. This is a fully onsite position.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, identify defects, perform root-cause analysis, measure code coverage, validate compatibility across hardware and interfaces, participate in code reviews, and report release readiness. The role also supports CI/CD testing, workflow improvement, corrective actions, task prioritization, and cross-functional collaboration.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Lead technical design and delivery of membership and loyalty backend services using Antavo. Own architecture, build scalable low-latency APIs and event-driven integrations (SFCC, Fluent Commerce), integrate LLM APIs and AI services, ensure observability, reliability, security, and drive engineering best practices, mentoring, and performance optimization.