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CapTech is seeking a Data Engineer with experience in cloud platforms such as AWS, Azure, and GCP. Responsibilities include developing data pipelines, advising on cloud technologies, and collaborating with various stakeholders. Successful candidates should have experience with SQL, Python, and various database technologies.

As a Data Engineer at CapTech, you will build and maintain data systems using cloud infrastructure like AWS, Azure, or GCP. Responsibilities include developing data pipelines, advising clients on cloud strategies, and collaborating with various stakeholders to optimize data usage.

The Data Engineer at CapTech will develop data pipelines and products using cloud platforms like AWS, Azure, and GCP, advise clients on cloud technologies, and work collaboratively to solve complex data problems while ensuring data architecture maximizes client value.

The Data Engineer at CapTech is responsible for building advanced data systems, developing data pipelines, and enabling efficient data processing using AWS, Azure, or GCP. They collaborate with clients and team members to maximize data value and provide strategic technological advice while focusing on engineering best practices to solve complex data problems.

The Data Engineer will develop data pipelines and products using AWS, Azure, or GCP, advise clients on cloud methodologies, solve complex data problems, and collaborate with users to maximize data architecture plans.

The Data Engineer will develop data pipelines and products on AWS, Azure, or GCP, advise clients on cloud resources for data processing, and collaborate with users and developers to enhance data architecture and maximize client data value.

The Data Engineer will develop data pipelines and products using AWS, Azure, or GCP, advising clients on cloud technologies for efficient data processing and collaborating with teams to maximize data architecture value.