Top Data Engineer Jobs in George Town

As a Data Engineer, you will design, develop, and maintain data architecture and pipelines following ELT principles. You'll create data solutions for data scientists, work with cross-functional teams on enterprise projects, and mentor other data professionals. You'll also implement emerging tools to enhance productivity and quality in data engineering.

The Sr Cloud Data Engineer will lead data integration initiatives, collaborate with various stakeholders to ensure data alignment, and develop data management standards. Responsibilities include creating and reviewing data deliverables and developing and managing data pipelines and warehouse technologies.

The Senior Data Engineer will lead the establishment and maintenance of data integration and warehousing processes for Bosch's semiconductor testing facility. Responsibilities include enhancing data pipelines, ensuring data quality, supporting IT solutions for Lean Manufacturing, and providing training to team members.

As a Software Engineer for Cloud Data Solutions, you will design, develop, and deploy cloud-based applications using a variety of programming languages and frameworks. You will integrate applications with RESTful APIs, utilize modern web technologies, and work on both Windows and Linux platforms, leveraging cloud services and containerization technologies to enhance scalability.

The role involves designing and developing hardware solutions for sensor integration and data mining, collaborating with data analytics teams, automating data processing, and improving manufacturing systems through software and hardware updates. Documentation of systems is also required.

As a Staff Engineer in Data Analytics Engineering, you will develop AI-powered applications and lead the application of LLMs for business solutions. Your responsibilities include processing and analyzing large datasets, collaborating with manufacturing engineers for technical solutions, visualizing metrics with Spotfire, and innovating through research. You will also work closely within cross-functional teams to integrate software solutions.

Lead the design, development, and deployment of complex data systems and pipelines, ensuring data quality and security. Collaborate with teams to integrate data solutions, implement processing frameworks, and develop strategies for data storage and retrieval. Stay updated on industry trends to drive innovation.

The Staff Data Engineer will lead a team in managing ETL processes, data management, and data modeling into the data warehouse. Responsibilities include developing data extractors, troubleshooting data discrepancies, automating data onboarding, and architecting solutions that meet business needs while interacting closely with APIs and deploying data into Snowflake.