Position

Data Warehouse Engineer

Location

McLean, Virginia

Summary

The role of a data warehouse engineer at Clark is someone with the knowledge and skills to turn raw data into information and insights, which can be used to make business decisions. On a day-to-day basis, a data analyst will provide meaningful analysis and insights to Clark leaders and project teams.

Skills:

• Strong analytical skills to help collect, measure, organize and analyze data
• Strong data modeling and analysis skills (E-R models, ERWin etc.)
• Proficiency in handling cloud data warehouses like Snowflake, Redshift etc. and in noSQL databases like Cosmos, Bigtable etc.
• Expertise in SQL, with attention to detail in performing data analysis
• Adept at queries, data analysis, writing reports, and making presentations to all levels of the organization
• Knowledge of data visualization software like Tableau, PowerBI (desired)
• Proven team-player and collaborator with cross functional technical and business teams
• Strong Verbal and Written communication skills

Responsibilities

• Maintain and support data systems – reorganizing data in a readable format from various enterprise applications and third-party sources
• Model databases and data marts, supporting consumers in meaningful extraction and transformation of the data
• Performing analysis to assess quality and meaning of data from various sources
• Enable users to remove corrupted data and fixing data errors and related problems
• Develop and maintain analytics and reports: Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management to identify process improvement opportunities, propose system modifications
• Scrutinize data to recognize and identify patterns to summarize the overall features of data analysis.

Basic Qualifications

• Strong analytical skills to help collect, measure, organize and analyze data
• Strong data modeling and analysis skills (E-R models, ERWin etc.)
• Proficiency in handling cloud data warehouses like Snowflake, Redshift etc. and in noSQL databases like Cosmos, Bigtable etc.
• Expertise in SQL, with attention to detail in performing data analysis
• Adept at queries, data analysis, writing reports, and making presentations to all levels of the organization
• Knowledge of data visualization software like Tableau, PowerBI (desired)
• Proven team-player and collaborator with cross functional technical and business teams
• Strong Verbal and Written communication skills