
Data Engineering Expertise Wanted
1 day ago
We are seeking an experienced Senior Data Engineer to contribute to the development of our data solutions.
With a strong background in data engineering, the successful candidate will be responsible for designing and maintaining cloud-based data architectures on Azure, AWS, or GCP with a focus on performance, security, and scalability.
Key responsibilities include developing and optimizing ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems.
Apart from this, the candidate will automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards.
The role also involves collaborating with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.
Additionally, the successful candidate must have a strong understanding of Docker and Kubernetes for scalable data processing.
Responsibilities:
- Designing and maintaining cloud-based data architectures on Azure, AWS, or GCP.
- Developing and optimizing ETL/ELT pipelines for structured and unstructured data.
- Automating data workflows using CI/CD and DevOps best practices.
- Collaborating with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.
- Ensuring security and compliance with industry standards.
Requirements:
- Strong background in data engineering.
- Experience with cloud-based data architectures on Azure, AWS, or GCP.
- Proficiency in Docker and Kubernetes for scalable data processing.
- Knowledge of CI/CD and DevOps best practices.
- Ability to work collaboratively with cross-functional teams.
Benefits:
- Opportunity to contribute to the development of cutting-edge data solutions.
- Chance to work with a talented team of professionals.
- Competitive salary and benefits package.
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