Senior Big Data Engineer: Spark, AWS & ML Deployments
Disys - Oak Brook
Tampa (FL)
On-site
USD 90,000 - 120,000
Full time
14 days+
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Job summary
A technology consulting firm based in Florida is seeking a qualified candidate for a critical role involving the design of data pipelines and the deployment of machine learning models. Ideal applicants should have strong skills with Apache Spark and SCALA, along with experience in AWS services. This role requires collaboration across engineering and data science teams to build scalable data solutions. Suitable candidates will have a graduate degree in Computer Science or a related field and a passion for innovative problem-solving.
Qualifications
2+ years of experience in data ingesting, cleansing, and processing.
Hands-on experience with model deployment and application deployment.
Experience in building stable, scalable, and high-speed live streams.
Responsibilities
Design interfaces to the data warehouses and machine learning applications.
Interface with various teams to ensure data pipelines fit within the production framework.
Deploy the machine learning model and serve outputs as RESTful API calls.
Skills
Apache Spark (Spark SQL)
SCALA
Java
AWS Big Data components
Docker
Kubernetes
Linux scripting
ETL processes
Apache KAFKA
Hadoop
AGILE development
Education
Graduation (MS or Undergraduate) in Computer Science/Engineering/relevant field
Tools
AWS
Docker
Kubernetes
Apache Spark
MapReduce
Hive
HBase
Job description
A technology consulting firm based in Florida is seeking a qualified candidate for a critical role involving the design of data pipelines and the deployment of machine learning models. Ideal applicants should have strong skills with Apache Spark and SCALA, along with experience in AWS services. This role requires collaboration across engineering and data science teams to build scalable data solutions. Suitable candidates will have a graduate degree in Computer Science or a related field and a passion for innovative problem-solving.