Top SQL Jobs in Pune

The Manager for GTM Data Operations is responsible for overseeing Salesforce data management operations, ensuring data quality, resolving issues, and leading a data support team, while collaborating with global stakeholders.

The Analyst - Lab Informatics will configure, support, and enhance laboratory systems, ensuring compliance and efficient lab data workflows in regulated environments.

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

As a Senior Data Engineer, you will develop and support automated data streams, ensuring data quality, optimizing data processing workflows, and collaborating with teams to meet data needs.

Design, build, and maintain data infrastructure using Snowflake for BI and analytics, focusing on security, performance, and problem-solving.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The Staff Engineer in Data Science is responsible for machine learning, data analysis, and mentoring team members, while ensuring high-quality technical solutions are delivered.

The Cloud Engineer II role involves designing and supporting Oracle EPM solutions, focusing on automation, integrations, and production stability in a SaaS environment. Responsibilities include developing EPM artifacts, optimizing performance, and collaborating with finance and IT teams.

The Senior Staff Engineer, Machine Learning will lead the design and implementation of machine learning solutions, focusing on AI architecture, data manipulation, and developing AI agents for complex decision-making. Responsibilities include stakeholder engagement, technical design, and adherence to best practices in AI and ML.

The Senior Staff Engineer, Machine Learning will design and implement AI/ML solutions, focusing on NLP and machine vision while leading technical design and architecture discussions.

The Senior Data Scientist will build predictive models, analyze healthcare data, and generate actionable insights, enhancing ad effectiveness and product development.

The Business Systems Analyst optimizes sales systems, collaborates with cross-functional teams, and implements scalable solutions to enhance sales efficiency and revenue growth.

As a Fraud Strategist, you'll lead data-driven fraud investigations, design fraud rules, monitor trends, and collaborate with various teams to mitigate fraud.

The Integration Consultant will develop integrations between Workforce Optimizer and third-party systems, build data mappings, customize existing integrations, and troubleshoot issues.

Analyze user behavior and product performance to deliver actionable insights, driving product decisions. Collaborate with cross-functional teams and create data visualizations to influence product strategy.

Lead the vision and execution of HighLevel's ecommerce automation, managing integrations with major platforms and overseeing data synchronization and marketing workflows.

As a Senior FullStack Engineer, you'll design user management systems for a multi-tenant SaaS platform, focusing on authentication, authorization, and scalable data models while mentoring junior engineers.

Responsible for project delivery and hands-on development in MS CRM domain, managing resources, analyzing client requirements, and providing technical solutions.

As a QA Automation Engineer, you'll design and maintain automation frameworks, collaborate with teams on testing strategies, and ensure product quality through automation and manual testing efforts.

Responsible for Testing and Validation of Ethernovia's software, including designing test cases, implementing test strategies, and adhering to functional safety practices.

Develop and maintain backend solutions for Machine Learning infrastructure. Collaborate on large scale software design and project management.

The Senior Backend Developer will design and implement scalable APIs, manage cloud infrastructure, and work within a microservices architecture. Responsibilities include developing microservices, optimizing backend performance, and collaborating with cross-functional teams.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

Develop and manage a cloud-based network security platform, work with product managers and frontend teams, and drive critical escalations.