Hadoop Jobs in Richmond
Search jobs in
1 - 6 of 6
Search Results - Hadoop Jobs in Richmond
Booz Allen Hamilton-Richmond
scrutiny
• Secret clearance
• Bachelor's degree Nice If You Have: * Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka...
Read more
CapTech Consulting-Richmond
subversion, Kubernetes, Jenkins
• Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
• Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
Additional Information...
Read more
Genworth-Richmond
Experience with big data technologies (e.g., Databricks, Azure, Hadoop, Spark, Hive)
• Experience with data visualization tools (e.g., PowerBI, Spotfire, Tableau, Python)
Why Work at Genworth
• We have a real impact on the lives of the people we serve
• We...
Read more
Tiger Analytics Inc.-Richmond
Azure, or GCP.
• Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies.
• Develop and optimize real-time and event-driven streaming applications.
• Design data models and structures supporting...
Read more
workable.com -
Richmond
of, algorithms for classification, regression, clustering, and anomaly
detection
• Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)
• Expertise with statistical data analysis (e.g. linear models, multivariate...
Read more
icims.com -
Richmond
minimum 3 years).
• Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark, and Hbase (prefer at least two of the list).
• Minimum of 5 years of hands-on, back-end Java development experience (not Javascript...
Read more
icims.com -
Companies now hiring in Richmond:
Hadoop jobs – More cities:
Don’t miss out on new job openings!
Create a job alert for: Hadoop, Richmond
It's free, and you can cancel email updates at any time