Top SQL Jobs in Pune

The Software Engineer will develop scalable cloud and on-premise solutions, improve performance, integrate diverse systems, and analyze complex problems in a global team setting.

In this role, you'll analyze customer behavior data, create automated reports, design dashboards, support marketing initiatives, and improve customer retention strategies.

The Marketing Operations Manager will analyze marketing performance, optimize campaigns and channels, manage data tools, and provide insights to align marketing with sales and customer success.

Assist in financial analysis, pricing, and risk assessment for ACA Marketplace health insurance products, focusing on healthcare cost forecasting and data analysis.

Lead the Data and AI Engineering Studio, overseeing technical vision, mentoring teams, delivering solutions, and engaging in business development and innovation.

The role involves verifying the bank's liquidity position, implementing funding strategies, and managing liquidity risks through data analysis and stakeholder collaboration.

This role involves managing the bank's liquidity, developing strategies, analyzing risks, and implementing stress testing methodologies to ensure financial resilience.

Design, develop, and execute testing strategies for Salesforce applications, collaborate with teams for defect resolution, and mentor junior testers.

The GCP Data Engineer will design, develop, and maintain data pipelines on GCP, utilize Python and SQL, and support advanced data analytics. Responsibilities include API integration, developing AI pipelines, and managing data workloads effectively.

Design and maintain data pipelines on GCP, optimize SQL queries, build AI systems, and operationalize applications while supporting integrations and troubleshooting.

As a Data Analyst, you will produce data products for institutional investors, using analytical skills and programming in Python and SQL to derive insights from large datasets.

The Senior Systems Support Engineer will provide system support for SAAS and Linux applications, troubleshoot issues, mentor team members, and enhance system monitoring. Requires expertise in Azure and cloud technologies, with a focus on AI application support.

The role involves designing and implementing AI and machine learning solutions, translating business challenges into analytical frameworks, and collaborating with teams to deliver insights.

The Tech Lead/PM will design, develop, and improve software, ensuring high-quality solutions, collaboration, secure coding, and effective testing practices.

Design and execute testing strategies for software performance and functionality, collaborating with teams to improve methodologies and resolve defects.

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

The Technical Engineer designs and develops software solutions, collaborates with teams, ensures code quality, and adheres to security practices while leading or advising on technical expertise.

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

As a Data Annotator, you will annotate and label various data types, ensuring quality and consistency, while collaborating with the data science team and adhering to deadlines.

The Full Stack Developer will design, develop, and improve software solutions, ensuring high-quality code and effective collaboration with teams. Responsibilities include managing RESTful APIs, optimizing database queries, implementing CI/CD processes, and ensuring secure and efficient applications.

As a Full Stack Developer, you will design, develop, and maintain software solutions, collaborate with teams, conduct testing, and mentor junior developers.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

As a Technical Pre-Sales Specialist, you will lead technical discovery, configure demos, and collaborate with teams to translate customer challenges into AI-driven solutions.

The AI Engineer will build and optimize AI/ML models, integrate them with existing systems, manage model lifecycles, and ensure ethical AI practices.

Develop Salesforce integrations and oversee website administration. Responsibilities include coding, testing, automating processes, and providing technical support. Requires collaboration with team members and adherence to coding standards.