Top SQL Jobs in Pune

The Senior Data Analyst will analyze complex datasets, develop data pipelines, ensure data quality, and collaborate with stakeholders in trading operations.

Lead the design and implementation of cloud solutions on Azure, ensuring security and operational standards, while mentoring junior engineers and collaborating with IT teams.

Design and deploy AI/ML solutions on AWS, build data pipelines using Databricks and PySpark, and maintain legacy systems. Collaborate with teams to ensure efficiency and performance optimization in data processing.

The role involves collaborating with teams to implement technology solutions, manage projects, enhance data quality, and mentor junior staff while focusing on supply chain operations.

As a Business Technology Solutions Associate Consultant at ZS, you will lead data governance projects, manage data catalogs, and collaborate with clients to implement technology solutions for data management.

As a Business Technology Solutions Associate Consultant, you'll optimize supply chain operations, manage data, develop knowledge graphs, and collaborate on solution design while ensuring data integrity and quality.

The role involves developing full stack applications using Java and Angular, working on API development, and participating in Agile methodologies.

Lead the development of microservices-based enterprise applications, mentor team members, conduct code reviews, and ensure high code quality. Collaborate with architects and product managers on designs, study new technologies, and comply with organization processes.

Develop advanced statistical models and leverage data analytics to guide decision-making. Communicate results effectively and mentor Associates. Experience in Pharma and real-world data analysis is preferred.

As a Senior Automation Engineer, you will define QA testing strategies, conduct test cycles, and ensure software quality for SaaS products while collaborating with development teams.

Develop software strategies, define architecture standards, and advise on technology integration and governance for enterprise solutions.

This role involves leading IT solution projects, defining requirements, maintaining systems, analyzing client needs, supporting junior analysts, and overseeing testing processes.

The Principal Data Architect oversees the enterprise data architecture, focusing on data analytics, AI integration, and supporting business intelligence and ML capabilities. Responsibilities include partnership for technology implementation, innovation in data platform design, and architecture improvement initiatives.

Lead the design and implementation of SAP MM solutions, analyze business needs, configure systems, mentor team members, and resolve critical issues.

The Senior Consultant will deliver identity security solutions, guide customers on project implementation, and manage multiple project initiatives while leveraging their IAM expertise and technical skills.

Lead a team of engineers to build products for supplier collaboration, drive technical execution, and ensure high-quality software delivery.

Lead technical role for engineering team, focusing on development and operations in Cloud. Involves migrations, scripting, and process enhancements.

The GCP Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python and SQL on Google Cloud Platform, working in a collaborative environment to ensure data quality and availability.

As a Staff Software Engineer, you'll develop cloud-based SaaS identity analytics solutions, deliver Java-based microservices, and collaborate in an agile team environment.

The Engineer I role involves quality assurance and testing, requiring automated and manual testing skills, with a focus on Playwright and Azure DevOps. Responsibilities include translating requirements into test cases, managing test environments, and generating reports for regional leadership.

This role involves developing and executing test plans, creating testing artifacts, and ensuring quality throughout the software development lifecycle alongside a cross-functional team.

As a Software Engineer, you'll develop systems based on customer goals, collaborate with teams, resolve issues, and mentor others in an Agile setting.

The role involves designing and developing scalable applications using .NET or Python, integrating AI systems, and optimizing performance for production AI systems.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

As a Full Stack Developer, you will develop web applications, enhance existing apps, troubleshoot, and work collaboratively with the team.