Top SQL Jobs in Pune

The IAM Engineer will implement IAM solutions, manage user identities, assess security risks, and support IAM policies while collaborating on system support and metrics tracking.

The role involves quality assurance in software development, including test case design, defect tracking, and executing SQL queries, with a focus on Agile methodologies.

The Forward Deployment Engineer will build AI agents, automate workflows, lead enterprise onboarding, create BI reports, and collaborate with other teams to enhance customer success.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

The Growth Marketing Engineer will manage technical user acquisition and marketing performance infrastructure, ensuring accurate tracking and enabling data-driven growth through analytics and experimentation. Key responsibilities include overseeing attribution frameworks, data quality, campaign experimentation, and tool integrations.

Lead sales operations and incentive compensation strategies for business growth, enhance performance through analytics, and manage stakeholder relationships.

Lead and manage the Analytics Engineering team, contribute to backend data model, oversee SQL code quality, and ensure operational efficiency.

Develop and optimize core APIs, manage performance bottlenecks, and modernize a large codebase while handling high-volume transactions.

The Data Architect - Annotation will manage data workflows, ensure data quality for AI systems, perform statistical analysis, and work closely with engineering teams to enhance annotation processes.

Design and optimize prompts for AI systems, evaluate model performance, collaborate with teams on machine learning strategies, and document best practices.

The Content Analyst (Data Steward) ensures data accuracy and quality by monitoring, validating, and analyzing data across various products, as well as developing data governance policies.

Design and maintain scalable backend services using Go. Collaborate with cross-functional teams, mentor junior engineers, and manage production systems.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

The Senior Product Analyst will work closely with engineering and product teams to identify data patterns, influence product strategy, and own the data lifecycle, focusing on AI's role in data management and analytics.

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

The Principal Consultant will design and implement data warehouse and BI solutions, integrating data from various sources, and lead client engagement throughout the process.

As a Senior Developer, you will design and support application and data integration processes using Oracle and Dell Boomi, lead implementation projects, and collaborate on data migration requirements.

The Content Analyst ensures data accuracy and quality by monitoring, analyzing, and managing data across products. Responsibilities include maintaining data quality, implementing governance policies, training users, and collaborating with stakeholders.

Lead the design and implementation of authentication, security, and permissions for a large-scale multi-tenant SaaS platform, focusing on reliability, integration, and user experience.

The Senior Backend Engineer develops software solutions, designs backend systems, optimizes performance, and ensures code quality to support Tala's mission.

Provide email-based onboarding support for global phone number operations: triage and resolve basic-to-intermediate issues, log and categorize interactions, respond to carrier notifications, escalate complex cases, collaborate with technical teams, and maintain SLAs while improving processes.

The Data Architect leads the development and analysis of large datasets, proposing solutions, creating data visualizations, and mentoring team members.

The role involves configuring and enhancing document capture workflows, collaborating with teams for integration, and ensuring IT governance and compliance.

Lead the design and implementation of data automation solutions, oversee bot development, integrate systems, and establish automation frameworks while ensuring compliance and security.

Lead data migration projects for SAP implementations, focusing on ETL design and development, data quality, profiling, and cross-functional collaboration.