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Data Platform Engineer, ML
2 months ago
Job Summary
Bayside Solutions is seeking a highly skilled Data Platform Engineer, ML to join our team. As a key member of our engineering team, you will be responsible for designing, building, and maintaining large-scale data platforms that support our machine learning initiatives.
Key Responsibilities
- Design and implement data pipelines using Python and Java programming languages
- Develop and maintain Spark applications to process large datasets
- Work with Kubernetes and container deployment to ensure efficient and scalable data processing
- Collaborate with cross-functional teams to integrate data platforms with machine learning models
- Ensure data quality, security, and compliance with company policies and industry regulations
Requirements and Qualifications
- 5+ years of experience as a data platform engineer with a focus on machine learning
- Highly proficient in Python and Java programming languages
- Strong hands-on experience with Spark and Kubernetes
- Experience working with data lakes and hybrid cloud environments
- Excellent communication and problem-solving skills
Desired Skills and Experience
- Python, Java, machine learning, Spark, Kubernetes, data lake, Apache Iceberg, AWS, distributed systems
What We Offer
Bayside Solutions offers a competitive salary range of $135,200 - $156,000 per year and a hybrid work environment in Cupertino, CA. We are an equal opportunity employer and welcome candidates from diverse backgrounds.