8 of 8 HDFS Jobs

data warehousing tools (e.g., Snowflake, Redshift, BigQuery), Databricks running on multiple cloud platforms (AWS, Azure and GCP) and data lake technologies (e.g., S3, ADLS, HDFS). Expertise in containerization and orchestration tools like Docker and Kubernetes. Knowledge of MLOps frameworks and tools (e.g., MLflow, Kubeflow, Airflow). Experience with real

Experience with various Ab Initio parallelism techniques, Ab Initio Graphs using Data, Pipeline Component parallelisms. Working knowledge in Bigdata/Hadoop Eco system and HDFS commands. Experience working on heterogenous datasets Hadoop files/XLS/XML/COBOL etc and integration with source systems via SFTP/MFTS/

data knowledge. Proficiency in Terraform for infrastructure as code (IaC). Strong hands-on experience with Cloudera CDP and Hadoop ecosystem (Hive, Impala, HDFS, etc.) Experience with GitHub Actions or similar CI/CD tools (eg, Jenkins, GitLab CI). Solid Scripting skills in Shell and Python. Extensive experience

Tableau best practices, advising senior stakeholders and team members. Nice to haves: Python and/or exposure to Hive, Impala, and Spark ecosystem technologies (HDFS, Apache Spark, Spark-SQL, UDF, Sqoop) Please apply within for further details or call on Alex ReederHarvey Nash Finance & Banking To From Record

coordination with project managers to provide technical solutions that address user needs - Hadoop, Kafka, Spark, Impala, Hive, Hbase etc. - Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role - Intimate knowledge of fully integrated AD/Kerberos authentication - Experience setting up optimum cluster configurations - Debugging knowledge

site in Hendon, VA. Preferred Qualifications: E xperience deploying , maintaining , and utilizing an E lasticsearch cluster . Experience with Spark . Experience with Hadoop (HDFS, Y ARN ). Experience using Python web frameworks ( D jango, FastAPI , etc. ). Experience with front-end development using React, Angular, or other JS framework.

with each of the following: Developing and/or executing multi-tenant software/data services (SaaS) platform in Big Data Environments such as HDFS/Hadoop, Spark, Hive, Columnar, and/or noSQL environments; Creating intuitive and interactive dashboards to visualize voluminous data from disparate data sources and presenting

clusters. Monitor cluster health, performance, resource utilisation, and capacity planning. Troubleshoot platform issues and ensure SLAs for uptime and reliability. Manage services such as HDFS, YARN, Hive, Impala, Kafka, Spark, Ranger, Knox, ZooKeeper, etc. Handle cluster upgrades, patching, backups, security hardening, and user provisioning. Implement governance, auditing, and access control … teams on deployments and incident resolution. Required Skills & Experience Strong experience as a Cloudera Administrator in production environments. Solid knowledge of Hadoop ecosystem services (HDFS, YARN, Hive, Impala, Spark ). Expertise with Cloudera Manager , cluster configuration, and life cycle management. Strong Linux administration skills (RedHat/CentOS/Ubuntu).