
Data Engineer - Big Data
Develop and implement interactive analytic dashboards and data visualizations, preferably spotfire. Front end development NodeJS, Flask, Dash/Plotly. Keeps abreast of industry trends and implementing them as needed. Willing to work on a fast paced environment and be adoptable to change. Must be a team player and have experience working with cross functional and be willing to work in a collaborative environment. Familiarity with Machine learning and deep learning algorithm. Candidate must have experience with working with data scientists to scale their models and deploy on Cloud based environment. Detail-oriented with strong analytical and problem-solving skills.
5 years experience is required
Experience in migrating on-premises Data Lake and Hadoop to GCP
Experience with designing and scaling ML models on distributed system or cloud environment and who has worked closely with data scientist
Must have 1+ experience on building terraform code and Airflow for orchestrating the ETL data pipeline
Must have solid of experience in building tools and application on a scalable environment
Hadoop
Cassandra
Kafka
Kubernetes
Spark
Performance tuning
Time Management Skills
KSQL
Driven and self-motivated
Adaptability
Problem Solving Skills
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Engineer - Big Data in 951 Sandisk Dr, Milpitas, CA 95035, USA is between $99,000 and $153,000 per year. This salary range may vary depending on the specific skills, experience, and qualifications of the individual.
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Western Digital Corporation is an American computer hard disk drive manufacturer and data storage company. It designs, manufactures and sells data technology products, including storage devices, data center systems and cloud storage services.

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