1 to 25 of 88 HDFS Jobs

client environments.Bonus Points ForExpertise in data modelling, schema design, and working with structured and semi-structured datasets.Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation.Knowledge of automating cloud-based ingestion and transformation frameworks.Experience delivering data engineering solutions within highly regulated industries such as financial services.Passion ...

environments. Bonus Points ForExpertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly regulated industries such ...

quality technical solutions.Bonus Points ForExpertise in data modelling, schema design, and working with structured and semi-structured datasets.Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation.Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms.Experience delivering solutions within highly regulated industries such ...

solutions. Bonus Points ForExpertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms. Experience delivering solutions within highly regulated industries ...

workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef ...

Linux, bare metal and virtual machines· Provisioning: Puppet, Kickstart, RPM· Languages: Bash, Ruby, Python, Java, Clojure· Security: Kerberos, SELinux, LDAP· Big Data: HDFS, Flink, Kafka· Containers: Docker, KVM· Schedulers: YARN, KubernetesYou will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing ...

skills.Proficiency in at least one scripting language — Python is required.Proficiency in at least one object-oriented language.Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.Experience with AWS, GCP, or Looker (advantageous but not essential).Solid background in data modelling, including the design, implementation ...

skills.Proficiency in at least one scripting language — Python is required.Proficiency in at least one object-oriented language.Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.Experience with AWS, GCP, or Looker (advantageous but not essential).Solid background in data modelling, including the design, implementation ...

with distributed scalable Big Data Store (No SQL) such as H Base, CloudBase/Accumulo, Big Tables, etc. Experience with Hadoop Distributed File Systems (HDFS) Compensation Range: $95,886.34 - $220,748.43 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed ...

with distributed scalable Big Data Store (No SQL) such as H Base, CloudBase/Accumulo, Big Tables, etc. Experience with Hadoop Distributed File Systems (HDFS) Compensation Range: $95,886.34 - $220,748.43 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed ...

disability, veterans status, or any other basis protected by law.Build streaming and storage systems at PulsePointPulsePoint processes billions of events daily through Kafka, Hadoop HDFS and Ceph. Our Data Platform team maintains these systems across hybrid infrastructure: bare-metal on-prem, cloud, and the integration between them. ...

veterans status, or any other basis protected by law. Build streaming and storage systems at PulsePointPulsePoint processes billions of events daily through Kafka, Hadoop HDFS and Ceph. Our Data Platform team maintains these systems across hybrid infrastructure: bare-metal on-prem, cloud, and the integration between them. ...

operating system resources, including VM’s and Docker·Proficient understanding of Oracle database, ability to tune SQLs including AWR analyzes.·Expertise on Hadoop/HDFS infrastructure architectureThis role suits a technical or architect consultant from a software consulting or infrastructure background that is looking to take on serious responsibility. ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...

policies, eviction logic, and metadata scalability to increase performance and reliability. Data path optimization - refine I/O pipelines for S3/GCS/HDFS/Posix to reduce latency and improve throughput using concurrency and scheduling techniques. Distributed systems reliability - strengthen consistency, replication, and fault-tolerance mechanisms across large ...