Data Engineer
1 month ago
Responsibilities:
• Build and preserve scalable and robust data pipelines to ingest, process, and modify large data sets using tools such as Python, Snowflake, and Bash.
• Implement ML Ops practices to streamline the deployment, monitoring, and management of machine learning models in operational environments.
• Utilize AWS or other cloud services as necessary for Data Engineering, Data Science, and ML modeling.
• Apply modern software development practices, including CI / CD, Version Control, and automated testing, to ensure an efficient and reliable data engineering process.
• Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver robust, scalable data pipelines based on those requirements.
• Maintain comprehensive documentation of data workflows, pipelines, and processes.
• Continuously monitor and optimize data processes and systems for performance, scalability, and cost-efficiency.• Minimum of 5 years of experience in data engineering or related field
• Proficiency in cloud technologies
• Familiarity with data visualization techniques
• Expertise in AWS technologies
• Strong skills in Python programming and Python scripting
• Experience with Snowflake data platform
• Ability to perform Shell scripting
• Knowledge of Continuous Integration / Continuous Delivery (CICD) practices
• Experience in setting up Continuous Integration (CI) systems
• Proven ability to design and manage data pipelines
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