Top Data Engineer Jobs in Pune

Leverage advanced statistical and computational methodologies to deliver insights and strategic opportunities for improving healthcare quality, patient experience, and cost. Integrate, analyze, and interpret business level data from multiple sources. Develop scalable processes for large-scale data analyses and model development. Manipulate and refine large datasets, monitor complex systems, and provide support on data-related solutions to business partners and clients.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

As a Data Engineer, you will build and optimize data pipelines and architectures to support analytics and reporting needs. This role focuses on ensuring high data quality and seamless integration across digital marketing sources while collaborating with teams to improve decision-making through reliable data.

The Data Engineer will design, implement, and maintain data pipelines for integrating operational data from Historian systems into enterprise platforms. Responsibilities include data accuracy, developing aggregation processes, and ensuring data integration supports analytics and reporting needs.

The Data Engineer will construct infrastructure tools for trading teams, improve processes through automation, assemble complex datasets, collaborate with global teams, document programming patterns, ensure quality standards, and optimize code for scalability.

Work as an Analyst Programmer/Data Engineer in a dynamic and empowering environment. Collaborate with experts in the field to make a difference in the lives of clients worldwide.

The Data Engineer will design and implement scalable data pipelines and maintain data infrastructure using Python, SQL, and AWS. Responsibilities include optimizing ETL processes, monitoring data systems, collaborating with stakeholders, and ensuring data security. The role requires building data models, creating dashboards, and staying updated with industry trends.

As a Lead Data Engineer, you will design, develop, and maintain data infrastructure and lead a team to implement scalable data solutions. Responsibilities include overseeing data warehouse implementation, ensuring data quality and compliance, and translating complex data findings into actionable insights.