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Cloud Data Engineer
hace 2 meses
We are seeking a highly skilled Data Engineer to join our team at Sequoia Connect. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems that support our business operations.
Key Responsibilities- Data Ingestion and Processing: Design and implement data pipelines to extract, transform, and load data from various sources into our data warehouse.
- Data Storage and Management: Develop and maintain a scalable data storage solution to store and manage large datasets.
- Data Analytics and Reporting: Collaborate with cross-functional teams to design and implement data analytics and reporting solutions to support business decision-making.
- Cloud Infrastructure: Design and implement cloud-based infrastructure to support data engineering and analytics workloads.
- DevOps and Automation: Develop and maintain automated scripts and tools to streamline data engineering and analytics workflows.
- Technical Skills: Proficiency in Python, SQL, and cloud-based data technologies such as Databricks, Azure Data Lake, and Azure Data Explorer.
- Cloud Experience: Experience with cloud-based infrastructure and services such as Azure, AWS, or Google Cloud.
- DevOps and Automation: Experience with DevOps tools and automation frameworks such as Jenkins, Docker, and Kubernetes.
- Communication and Collaboration: Excellent communication and collaboration skills to work with cross-functional teams.
- Cloud Architecture: Experience with designing and implementing cloud-based architectures.
- Machine Learning: Experience with machine learning and deep learning technologies.
- Security and Compliance: Experience with data security and compliance regulations such as GDPR and HIPAA.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented Data Engineer looking for a new challenge, please submit your application.
