Azure Cloud Data Engineer with Data Bricks

Job Overview

Masterrsquos degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience Expert skill in Microsoft Excel and Operation Data Integration (OLTP) Advanced skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL Advanced understanding of multiple data related concepts and application of data mapping and building requirements Excellent communication skills ability to communicate end to end data outcomes visually to all levels of the team hierarchy Proficient in Hadoop, Azure Data Catalog, Data Architecture, Apache Spark, ETL tools and techniques Proficient with data models, large datasets, businesstechnical requirements, data warehousing, statistical programming languages and libraries Proficient with data visualization tools such as Microsoft Power BI, Tableau ability to manipulate raw data into effective visualization dashboards Working knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica) Experience with warehousing, data cleaning, data pipelines and other analytical techniques required for data usage Ability to understand other projects or functional areas in order to consolidate analytical needs and processes Ability to understand the business problem and determine what aspects of it require optimization articulate those aspects in a clear and concise manner Ability to define and analyze highly complex models that predict the probability of an outcome Ability to perform statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques Skilled in managing the process between updating and maintaining data source systems and implementing data related requirements Novice in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos