Jobs via Dice
Details
Client: Bank
Job Title: Hadoop Engineer
Location: Chicago, IL and Charlotte, NC – Onsite
Duration: 12 Months (Extension/Conversion based on performance)
Pay Range: $65–$70 per hour
Benefits
Medical, dental, and vision insurance
401(k) retirement plan
Life, long‑term disability, and short‑term disability insurance
Paid parking/public transportation
Paid time off, sick and safe time, vacation, parental leave, holidays (as applicable)
Mission Seeking a Hadoop Engineer (SME) to support our NextGen Platforms built around Big Data Technologies, including Hadoop, Spark, Kafka, Impala, HBase, Docker‑Container, and Ansible on a project focused on platform modernization and consolidation.
Day‑to‑Day
Work on complex, major, or highly visible tasks across multiple projects requiring diverse expertise.
Provide subject matter expertise in managing Hadoop and Data Science Platform operations, focusing on Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker‑Container cluster management, and administration.
Integrate solutions with other applications and platforms outside the framework.
Manage day‑to‑day operations for platforms built on Hadoop, Spark, Kafka, Kubernetes/OpenShift, Docker/Podman, and Jupyter Notebook.
Support and maintain AI/ML platforms such as Cloudera, DataRobot, C3 AI, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite, and others.
Automate platform tasks using tools like Ansible, shell scripting, and Python.
Must Haves
Strong knowledge of Hadoop architecture, HDFS, Hadoop cluster, and Hadoop administrator role.
Intimate knowledge of fully integrated AD/Kerberos authentication.
Experience setting up optimal cluster configurations.
Expert‑level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, and Postgres.
Hands‑on experience analyzing various Hadoop log files, compression, encoding, and file formats.
Strong proficiency with Unix and SQL scripting.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
Client: Bank
Job Title: Hadoop Engineer
Location: Chicago, IL and Charlotte, NC – Onsite
Duration: 12 Months (Extension/Conversion based on performance)
Pay Range: $65–$70 per hour
Benefits
Medical, dental, and vision insurance
401(k) retirement plan
Life, long‑term disability, and short‑term disability insurance
Paid parking/public transportation
Paid time off, sick and safe time, vacation, parental leave, holidays (as applicable)
Mission Seeking a Hadoop Engineer (SME) to support our NextGen Platforms built around Big Data Technologies, including Hadoop, Spark, Kafka, Impala, HBase, Docker‑Container, and Ansible on a project focused on platform modernization and consolidation.
Day‑to‑Day
Work on complex, major, or highly visible tasks across multiple projects requiring diverse expertise.
Provide subject matter expertise in managing Hadoop and Data Science Platform operations, focusing on Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker‑Container cluster management, and administration.
Integrate solutions with other applications and platforms outside the framework.
Manage day‑to‑day operations for platforms built on Hadoop, Spark, Kafka, Kubernetes/OpenShift, Docker/Podman, and Jupyter Notebook.
Support and maintain AI/ML platforms such as Cloudera, DataRobot, C3 AI, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite, and others.
Automate platform tasks using tools like Ansible, shell scripting, and Python.
Must Haves
Strong knowledge of Hadoop architecture, HDFS, Hadoop cluster, and Hadoop administrator role.
Intimate knowledge of fully integrated AD/Kerberos authentication.
Experience setting up optimal cluster configurations.
Expert‑level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, and Postgres.
Hands‑on experience analyzing various Hadoop log files, compression, encoding, and file formats.
Strong proficiency with Unix and SQL scripting.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr