Senior Cloud Data Engineer with Machine Learning Expertise
1 tydzień temu
We are seeking a highly skilled Senior Cloud Data Engineer with expertise in machine learning to join our team at Acoustic. This is a challenging and rewarding role that will involve working closely with our data scientists to design, develop, and deploy cloud-based data processing systems.
Responsibilities:
- Design and implement scalable and secure cloud-based data processing systems using Azure Kubernetes Service (AKS), Docker, and Micro-Services.
- Develop and maintain high-quality Python code for data processing and machine learning tasks using Scikit-learn, Tensor Flow, and Keras.
- Work closely with data scientists to understand their requirements and provide solutions to complex data problems.
- Collaborate with the engineering team to ensure smooth operation of data processing systems and troubleshoot issues as needed.
- Stay up-to-date with industry trends and best practices in cloud computing, machine learning, and data engineering.
Requirements:
- Bachelor's degree in Computer Science or related field.
- Minimum 5 years of experience in cloud computing, data engineering, and machine learning.
- Strong programming skills in Python, Java, and JavaScript.
- Experience with AKS, Docker, and Micro-Services.
- Familiarity with SQL and NoSQL databases, including MongoDB, Redis, and Snowflake.
- Good understanding of data processing pipelines and data science concepts.
- Strong communication and problem-solving skills.
Benefits:
- Competitive salary: $120,000 - $180,000 per year.
- Remote work option with flexible hours.
- Opportunity to work on cutting-edge projects with a talented team.
- Professional development opportunities and training budget.
- Award-winning company culture and benefits package.
About Us
Acoustic is a leading provider of cloud-based data processing solutions. We are passionate about delivering innovative and scalable solutions that meet the needs of our customers. Our team is committed to excellence and is dedicated to providing exceptional service and support.
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