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Detailed Job Description:

Absolute Must Haves Big Data (Cloudera) Admin Solr Core Administrator (This isNOTa Big Data Developer or Big Data Engineer Role)

Job Responsibilities:

Set up DR (Disaster Recovery) Operationalization and maintenance of current Enterprise Data Platform. Expansion of current Cloudera platform to scale and support new business. Disaster recovery planning and implementation for a healthcare product Experience with Cloudera CDP private and public cloud Repurpose clusters and add the nodes to the Operational clusters. Strategize and Test 24x7 Availability of HBase and Solr PDVs Implement a hybrid Big Data solution using Cloudera and AWS in a secure environment Transition EDP (Enterprise data platform) and data from on-prem to AWS Cloud Provide support to cross teams and cross projects with deployment and upgrade including troubleshooting of incidents to maintain the required service level. Work on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise Automation and DevOPs

ESSENTIAL FUNCTIONS:

20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using multiple technologies. 15% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems. 15% Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery. 15% Creates data collection frameworks for structured and unstructured data. 15% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. 10% Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. 10% Applies and implements best practices for data auditing, scalability, reliability and application performance.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.