Data Engineer

CC Pace Systems, Inc.
CC Pace Systems, Inc.

Job Overview

This position is remote during pandemic Responsibilities bull Provide Business Intelligence (BI) and Data Warehousing (DW) solutions and support by leveraging project standards and leading analytics platforms bull Evaluate and define functional requirements for BI and DW solutions bull Define and build data integration processes to be used across the organization bull Build conceptual and logical data models for stakeholders and management bull Work directly with business leadership to understand data requirements propose and develop solutions that enable effective decision-making and drives business objectives bull Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools bull Analyze and validate data accuracy of report results bull Analyze and interpret collected data spotting trends writing reports and recommendations for internal or external clients bull Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies bull Coach and mentor project team members in carrying out analytics project implementation activities bull Lead the preparation of high quality project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders bull Interpret data presented in models, charts, and tables and transform it into a format that is useful to the business and promotes effective decision making bull Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on plannedfuture events bull Identify improvements to the way in which analytics services an entire function bull Communicate and own the process of manipulating and merging large datasets bull Expert and key point of contact between the data analystdata scientist and the projectfunctional analytics leads bull Perform other duties as assigned Qualifications and Education Requirements bull Masterrsquos degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience bull Expert skill in Microsoft Excel and Operation Data Integration (OLTP) bull Advanced skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL bull Advanced understanding of multiple data related concepts and application of data mapping and building requirements bull Excellent communication skills ability to communicate end to end data outcomes visually to all levels of the team hierarchy bull Proficient in Hadoop, Azure Data Catalog, Data Architecture, Apache Spark, ETL tools and techniques bull Proficient with data models, large datasets, businesstechnical requirements, data warehousing, statistical programming languages and libraries bull Proficient with data visualization tools such as Microsoft Power BI, Tableau ability to manipulate raw data into effective visualization dashboards bull Working knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica) bull Experience with warehousing, data cleaning, data pipelines and other analytical techniques required for data usage bull Ability to understand other projects or functional areas in order to consolidate analytical needs and processes bull Ability to understand the business problem and determine what aspects of it require optimization articulate those aspects in a clear and concise manner bull Ability to define and analyze highly complex models that predict the probability of an outcome bull Ability to perform statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques bull Skilled in managing the process between updating and maintaining data source systems and implementing data related requirements bull Novice in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), CognosData Engineer 1

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