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Title : Big Data/Data Lake Consultant Location : Washington DC (hybrid onsite) Duration : 10 months+ Long Terms Required Skillsets Experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes 5 Years Knowledge of Big Data and Data Architecture and Implementation best practices 5 Years Knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure 5 Years Experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure 5 Years Knowledge of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle 10 Years Experience querying structured and unstructured data sources including SQL and NoSQL databases 5 Years Experience modeling and ingesting data into and between various data systems through the use of Data Pipelines 5 Years Experience with implementing Apache data products such as Spark, Sedona, Airflow, Atlas, NiFi, Hive, Impala 5 Years Experience with API / Web Services (REST/SOAP) 3 Years Experience with complex event processing and real-time streaming data 3 Years Experience with deployment and management of data science tools and modules such as JupyterHub 3 Years Experience with ETL, data processing, analytics using languages such as Python, Java or R - 3 Years Experience with Cloudera Data Platform - Highly desired 3 Years 16+ yrs planning, coordinating, and monitoring project activities 16+ yrs leading projects, ensuring they are in compliance with established standards/procedures Bachelor's degree in IT or related field or equivalent experience