What are the responsibilities and job description for the Data Lake Architect position at Axiom Software Solutions?
Job Details
Role: Data Lake Architect (Network - Proxy, F5, firewall and AD )
Location Auburn Hills, MI Onsite
Job Type: Contract
Job Requirements:-
Minimum of 10 years experience in advanced technologies including a minimum of 5 years as data lake admin/architect
manage and maintain Data Lake clusters infrastructure on premise and in cloud: installation, configuration, performance tuning and monitoring of Hadoop clusters
BS degree, preferably in Computer science or equivalent
Good communication skills with right attitude to blend in with team
Minimum 5 years work experience in Hadoop ecosystems (Horton HDP or Cloudera s CDP)
should demonstrate strong concepts in Unix/Linux, Windows OS, cloud platforms (AWS, Google Cloud Platform), Kubernetes, Open Shift & Docker
must have good exposure to Cloudera manager, Cloudera Navigator or similar cluster management tool
Collaborate and assist developers in successful implementation of their code, monitor and fine tune their process for optimum resource utilization on cluster, ability to automate run time process
must have good knowledge of HDFS, Ranger/Sentry, Hive, Impala, Spark, HBase, Kudu, Kafka, Kafka Connect, Schema Registry, Ni-Fi, Sqoop and other Hadoop related services
Exposure to Data Science collaborative tools such as data science workbench, CML, anaconda, etc.
Strong Networking concepts: topology, proxy, F5, firewall
Strong security concepts: Active directory ,Kerberos, LDAP, SAML, SSL, data encryption @rest
Programming language concepts: Java, Perl, python, PySpark and Unix shell scripting
Possess experience in cluster management, perform cluster upgrade, migration, and testing
Perform periodic updates to cluster and keeping the stack current
Ability to expand clusters by adding new nodes and rebalance cluster storage systems
manage application databases, application integration, users, roles, permissions within cluster
collaborate with OpenShift, Unix, network, database and security teams on cluster related matters
must monitor cluster for maximum uptime, ability to research on cluster issues via logs and collaborate with support in a proactive way
Technical Experience
Solid experience in Cloudera data lake environments both on prem and cloud
Solid experience in administration and set up including security topics related to a data lake
Strong experience architecting and designing solutions for new business needs
Thorough understanding and hands-on experience with implementing robust logging and tracing implementation for end to end systems traceability
Familiarity with Cloudera s BDR tool to perform and monitor backups of critical data and able to restore data when in need
Willing and ready to get hands on code development with dev team for developing and troubleshooting, doing quick proof of concepts for exploring new solutions, products etc.
Experienced in working with technical teams to discuss, analyze, understand and negotiate business requirements, being able to explain to architects about the technical considerations and associated implications on the user journey/experience/requirements.
Experience in tuning and optimizing Hadoop environment in keeping clusters healthy and available for end users and applications with maximum cluster uptime as defined in SLA
Deep knowledge and related experience with Hadoop and its ecosystem components i.e. HDFS, Yarn, Hive, MapReduce, Pig, Sqoop, Oozie, Kafka, Spark, Presto and other Hadoop components
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
