Top SQL Jobs in Pune

The CMA Automation Tester will design and execute testing strategies, develop automated scripts, collaborate with teams, and improve testing processes for software quality.

Design, develop, and improve software for financial platforms, ensuring high-quality solutions, secure coding, and collaboration with cross-functional teams.

Seeking a Senior Data Engineer to design and implement high-performance data solutions and pipelines, ensuring scalability and reliability in cloud environments.

Develop and deploy automation solutions using UiPath, maintain bot performance, document workflows, collaborate with teams, and identify automation opportunities.

Design, build, and maintain scalable full‑stack web applications using Python (FastAPI/Django/Flask) and Node.js frameworks (Next.js, Nest.js). Build React front ends, architect RESTful APIs, work with SQL/NoSQL databases, implement testing and security best practices, leverage AWS cloud services and AI-assisted development tools, collaborate with product and design, perform code reviews, and mentor junior engineers.

Design, implement, and support Saviynt-based Identity Governance solutions. Configure modules, integrate with directories and apps, build connectors/APIs/scripts for provisioning, troubleshoot production issues, ensure compliance, support user lifecycle workflows, optimize performance, and participate in testing and deployments.

Lead customer-facing development and deployment of production-ready ML, Generative AI, and agentic AI solutions for supply chain challenges. Partner with customers from discovery through adoption, build scalable ML pipelines and prototypes, evaluate emerging AI technologies, collaborate cross-functionally, and mentor team members to drive measurable business impact.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

Design, build, and maintain scalable ETL/ELT and real-time data pipelines on AWS. Manage Airflow DAGs, Kafka ingestion, Redshift optimization, data quality checks, API integrations, and cost optimization while collaborating with BI for reporting needs.

Lead customer-facing data engineering engagements: design and implement scalable batch and real-time data pipelines and platforms (Databricks, Delta Lake, ClickHouse, Azure). Own solution delivery, optimize performance and costs, build data products for analytics and AI, drive governance and reliability, collaborate across product and customer success, and mentor junior engineers.

Early-career Product Manager in analytics/strategy focusing on behavioral data analysis, A/B testing, funnel diagnostics, and recommendation ranking optimization. Produce strategy docs and PRDs, collaborate with algorithm teams, develop labels/taxonomies, and deliver actionable insights from experiments and data extraction.

Manage and maintain master data (Customer and Product), resolve duplicates, oversee matching/merging, define and monitor data quality KPIs, perform root-cause analysis and remediation, implement automated profiling/cleansing, document lineage and glossaries, and support enterprise data governance and stewardship across business units.

Design, build, and maintain enterprise-grade applications using .NET Core, C#, ASP.NET Core and Angular. Develop REST APIs, optimize SQL databases, deploy and manage services in Azure, participate in design and code reviews, implement automated tests, troubleshoot production issues, and collaborate in Agile/Scrum teams to improve development practices.

Provide expert support for Account-to-Report operations including review and approval of complex transactions, ensure GAAP compliance, identify and drive process improvements, manage issue resolution and internal controls, serve as audit contact, update SOPs, and contribute to leadership and stabilization of R2R processes.

Lead global operations for assigned creative types and industries: drive process improvements, own strategic projects and change management, troubleshoot complex client issues, maintain master product catalog and systems knowledge, analyze data to recommend optimizations, and partner cross-functionally to scale quality and efficiency.

Lead product strategy and execution for AI-first sales agents: design autonomous agentic workflows, translate messy pipelines into AI-first UX, drive adoption, ship rapid MVPs, iterate on metrics, and prototype with engineers using code and design tools.

Provide technical support for Binary Stream products: create and manage support tickets, reproduce and troubleshoot customer issues, liaise with Development for defects, maintain communication, and contribute to support process improvements and coaching.

Design, develop, test, implement, and maintain software solutions (including device and SaaS systems). Create and maintain source code, debug and update applications, and keep documentation current. Work requires familiarity with X++, SQL, and JavaScript.

Design, develop, test, implement and maintain software solutions. Create, debug and update application code, evaluate and modify existing applications, and keep documentation current. Work requires familiarity with X++, SQL, JavaScript and Microsoft Dynamics.

Lead design and delivery of analytics solutions combining NetSuite data with Oracle Analytics Cloud and NetSuite Analytics Warehouse. Own end-to-end analytics lifecycle: discovery, data strategy, dimensional modeling, ETL/data integration, warehouse architecture, OAC visualizations, and deployment. Mentor junior consultants, coordinate APEX integrations and BI stakeholders, establish data governance and reusable patterns, and manage client expectations and project delivery.

Design, build, and maintain production data pipelines and integrations across applications, databases, and cloud services. Support data architecture, ingestion, embedding workflows for AI, data quality, monitoring, and platform reliability. Collaborate with Full Stack and AI teams to deploy scalable cloud-based data infrastructure and establish data engineering standards and best practices.

Design and build scalable user management systems for a multi-tenant SaaS: authentication, authorization, IAM/RBAC, session and token flows, auditing, data sync across stores, search integration, performance optimization, compliance, and mentoring teammates while collaborating with product, security, and DevOps.

Partner with the Head of Talent Growth to define and execute supply and demand growth roadmaps. Lead cross-functional growth programs, run experiments, optimize funnels and automation, build dashboards and metrics, and drive alignment across Product, Engineering, Data Science, and Sales to hit growth OKRs.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Lead ML architecture and solution design for NLP, computer vision, and generative AI projects. Define technical designs, review implementations, run POCs, guide developers, and ensure scalable, secure, and ethical deployments using cloud, MLOps, and model deployment pipelines.