Senior Data Engineer
hace 1 semana
About the Role:
As a Senior Data Engineer at Stuart, you will play a key role in designing, implementing, and maintaining a robust Data Platform that collects, stores, and processes data. This will involve working closely with Analytics Engineers, Data Analysts, and Software Engineers to develop self-serve data solutions for ingestion, transformation, visualization, and data protection. You will also be responsible for employing DataOps practices to enhance data quality, governance, and operational efficiency across the platform.
Key Responsibilities:
• Design and implement a scalable and reliable Data Platform to meet the company's data needs.
• Collaborate with cross-functional teams to develop self-serve data solutions for ingestion, transformation, visualization, and data protection.
• Employ DataOps practices to enhance data quality, governance, and operational efficiency across the platform.
• Utilize pair programming, code reviews, and workshops to share knowledge and foster team collaboration.
About You:
We are looking for a highly skilled and experienced Senior Data Engineer who has a strong background in designing and implementing data platforms. You should have fluency in English, 5+ years of experience working with Python, and strong experience in designing and implementing ETL frameworks and CI/CD strategies for data pipelines. Familiarity with Analytical Data Stores, including Data Lakes and Data Warehouses, is also required. Solid knowledge of cloud services, particularly AWS, including Redshift, AWS Glue, and AWS Athena, is essential. Experience with container-based deployments using Kubernetes or Docker Compose is a plus. Familiarity with Apache Kafka or other streaming platforms, knowledge of Infrastructure as Code (IaC) tools, such as Terraform, and experience with data visualization tools are also desirable.
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