HBase Jobs with Work from Home (WFH) Options

5 HBase Jobs with Hybrid or WFH Options

Software Engineer

London Area, United Kingdom
Hybrid / WFH Options
Allegis Global Solutions
SQL and No-SQL) Infrastructure (Servers, Databases, Virtualization, Networking, Security, Disaster Recovery etc.). Hashicorp Products (Nomad, Consul, Vault, Terraform) ELK, Docker, Python, XLM, HBase/Coherence, Kafka, Prometheus, Grafana, Octopus, EC2, S3, Lambda, Cloud Watch, Cloudera) all a plus. Strong multi-tasking skills. Demonstrated ability to coordinate complex more »
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Big Data Architect - Hybrid - £110K

Greater London, England, United Kingdom
Hybrid / WFH Options
Oliver Bernard
Architect and excellent knowledge of Big Data -Great understanding of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies more »
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Lead Big Data Engineer - Hybrid - £120K

London Area, United Kingdom
Hybrid / WFH Options
Oliver Bernard
is essential: -Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies more »
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Solution Data Architect - Hybrid - £120K

London Area, United Kingdom
Hybrid / WFH Options
Oliver Bernard
skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies more »
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Big Data Architect - Hybrid - £120K

Greater London, England, United Kingdom
Hybrid / WFH Options
Oliver Bernard
essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies more »
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