Top Data Engineer Jobs

The Data Engineer role involves developing and managing the core data engineering processes within the Petal Search project. Responsibilities include analyzing data using various programming languages, building knowledge graphs, and ensuring data quality. The position requires collaboration with teams to address real-world challenges, focusing on delivering results and enhancing one's skills.

The Data Engineer will join the Huawei Turkey R&D Center to develop and optimize ETL pipelines using big data solutions, particularly in the Hadoop ecosystem. Responsibilities include analyzing data to provide insights, optimizing HiveQL queries, and collaborating with the global App Gallery team.

The role involves developing and optimizing data pipelines using Python and AWS services, managing ETL workflows, and collaborating with teams to enhance data quality and availability.

As a Data Science Team Lead for the Dolap platform, you will enhance buyer and seller experiences, optimize operations, and leverage data-driven insights to inform business strategies, while implementing machine learning best practices and collaborating across teams.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures, manage noSQL databases, and support machine learning initiatives using various cloud platforms and big data technologies.

The Senior Data Engineer will design and build data pipelines, ensure performance and integration, and implement new technologies. Collaborates with teams and writes secure, high-quality code.

As a Senior Data Engineer, you will leverage Google Cloud and your expertise in data engineering to assist clients with their data transformation and modernization by implementing solutions in ETL/ELT, data warehousing, and streaming architectures.