Data Engineer

The purpose of the Data Engineer is to migrate and convert data from foreign data models into the proprietary 3-GIS data model. The role also supports existing 3-GIS accounts with data changes for system corrections and upgrade requirements.

• Bachelor’s Degree in Information Technology or related field.
• 1+ year of experience with managed telecommunications databases.
• 3+ years of experience in data conversion, data mapping, and data analysis.
• 3+ years of experience using ESRI, FME, or a combination of both.
• Intermediate database experience including SQL relationship statements.
• Intermediate programming/report analysis experience.
• Communication skills, both oral and written.
• Strong organizational skills and attention to detail.
• Deadline driven, ability to work independently as well as a team player.

Nice to have:

• 5+ years of experience in data conversion, data mapping, and data analysis.
• Experience working with and authoring Python.
• Experience with telecommunications networks.
• Basic 3-GIS data model or application experience.

• Responsible for supporting data migrations and data conversions from disparate systems into the 3-GIS Data Model.
• Oversee data mapping exercises and work closely with customers to understand their data models and provide mapping between systems.
• Employ a variety of tools including Python scripting, SQL, advanced ESRI applications, FME workbenches, and internally developed tools.
• Exhibit strong communication skills to ensure customer understanding of data migrations and conversions.
• Work with Solutions Engineers, Data Technicians, Sales Executives, and Project Managers to ensure project success.
• Maintain proper time management to meet project timelines and milestones.
• Provide references for users by writing and maintaining documentation.
• Design, develop, and test data transformation, extraction, and migration activities.
• Prepare technical reports by collecting, analyzing, and summarizing information.
• Perform tasks efficiently while validating methodology.
• Interact directly (face-to-face and remotely) with clients and project teams.
• Provide best practice recommendations during data mapping and project exercises.