Minimum Requirementsbr Bachelors degree in Computer Science, Engineering any, or related field followed by seven 7 years of progressive, postbaccalaureate experience in the job offered or in a technologyarchitectrelated occupation. Must be available to work on projects at various, unanticipated sites throughout the United States.br br Special Requirementsbr Position requires at least 7 years of experience in each of the following skillsbr 1. Design, develop and operationalize large scale enterprise Data environments using onpremises and cloudbased data solutions including either Cloudera Hadoop platforms, AWS, GCP or Azure data and analytics servicesbr 2. Design, develop, and deploy data pipelines from ingestion to consumption within a big data architecture using technologies including either Spark, Hive, TrinoPresto, Airflow, Kafka, or Flinkbr 3. Design and develop Data pipelines for ingestion of data, design and develop data Engineering and Analytic Applications to business specification and technology standards on one of the cloud platforms including either AWS, GCP or Azure to drive optimization of decisions for clientsbr 4. Defining Master Data Management strategies, implementing MDM services and capabilities, Data Modeling, Master Data Concepts Frameworks, Process facilitation, Metadata Management, Data Governance, and Data Quality solutions using one of the tools Oracle DRM, IBM Data Governance Suite, Collibra, Alatian, or Informatica Data Qualitybr 5. Partner with data Visualization experts and Data Scientists to provide solutions enabling statistical analysis tools and data visualization applications using tools Oracle OBIEE, Tableau, Power BI, Looker or Quicksightbr 6. Shaping and enhancing overall ETL architecture using at least 2 of the industry leading ELT tools Informatica Power Perform Center, Pentaho DI, Matillionbr 7. Identify, recommend, and implement ETL process and architecture improvementsbr 8. Manage build phase and quality assure the code to ensure that it is meeting requirements and adhering to best practices in ETL architecture.
Categories: eb3
0 Comments