Top SQL Jobs in Pune

As a Staff Data Engineer, lead the design and scaling of data models, optimize ETL/ELT pipelines, and mentor engineers while ensuring data quality and governance.

Design, architect, and develop backend features and integrations for the RightAnswers platform. Participate in code reviews, troubleshoot production issues, write optimized database queries, balance technical debt with feature delivery, and collaborate with a distributed team.

Support product marketing by collecting, analyzing, and visualizing data from SFDC/SAP to track KPIs, automate workflows, standardize pricing metrics, monitor competitors, and provide actionable recommendations across business units.

Support product marketing through data collection, analysis, and dashboards for Product Lifecycle Management, Pricing, and Competitive Intelligence. Track KPIs from SFDC and SAP, automate workflows, develop pricing and proxy templates, and partner with product management, sales, operations, and customer service to recommend actions and improve performance.

Develop and implement integration services for various systems, gather requirements, collaborate on deployments, and establish best practices in SOA.

The Lead - Fraud Analytics will manage fraud strategy from detection to modeling and remediation, focusing on preventing and mitigating fraud risks in digital lending.

The AVP - MIS & Reporting oversees the MIS function, develops dashboards, analyzes data for insights, collaborates with teams, and ensures data integrity.

The role involves leading cloud-native data solutions, mentoring junior engineers, optimizing data pipelines, and ensuring data quality within Azure frameworks.

The Data Engineer II will build and maintain data pipelines, support ETL workflows, and collaborate on reporting solutions while ensuring data quality and system optimization.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The GTM Data Analyst will create visualizations and reports, analyze data, collaborate with cross-functional teams, and provide insights to drive growth at ClickUp.

The Analytics Engineer will design scalable data models, implement SQL transformations, and collaborate with various departments to optimize data usage.

Design, build, and test data warehouse and BI solutions. Lead product implementation and conduct training and workshops for clients. Manage data integration projects and utilize various BI tools.

Provide technical advisory and support to Confluent customers during solution design and implementation, focusing on streaming applications and overcoming technical challenges. Engage in customer training and deliver technical workshops.

The Business Analyst will understand SaaS business models, onboard customers, manage data pipelines, and analyze customer KPIs using SQL.

The Senior Analyst will leverage data to drive business decisions, working cross-functionally to enhance user growth and engagement through insights and analytics.

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

Design and maintain infrastructure for advanced analytics and data integration. Implement Google Cloud's Unified Graph Fabric and build a Customer 360 Knowledge Graph.

The Senior Integration Engineer will develop integrations between SaaS systems, mentor engineers, and ensure operational efficiency and quality in solutions.

The Netsuite Developer will design, develop, and maintain software solutions, collaborating with teams and participating in Agile development processes to ensure high-quality product delivery.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

The role involves developing and maintaining applications using Spring Boot and Kotlin/Java, creating RESTful APIs, collaborating with teams, and performing testing and debugging.

Design, develop, and maintain applications using Java and Spring Boot; create RESTful APIs; participate in Agile processes and collaborate with cross-functional teams.

The Analytics Engineer will drive data lifecycle management, build Power BI dashboards, and work with business stakeholders to create a unified data model, enhancing data accessibility and quality.