Senior Geospatial Engineer

Job Summary

Are you an Analytics Engineer who loves working with geospatial data? Are you skilled in using SQL and Python to integrate large data sets into meaningful assets that the business can use for analytics?  If you answered yes to any of the questions above, please read on!

The Altice Data and Analytics team needs GIS Analytics Engineers to help us architect and build robust data solutions that can be used by the Data Science and analytics teams and analysts throughout the business. The role requires you to collaborate with both technical and non-technical folks, so, unfortunately, you won’t be able to speak techie all the time. However, you will be involved in various projects, allowing you to grow your knowledge and skills beyond what you thought was possible.

Responsibilities

• Transforming large, complex data into business assets that serve the Data and Analytics team and analysts throughout the organization.
• Translating actionable business needs into programmatic solutions using geospatial analytical methods.
• Partner closely with IT to develop scalable and repeatable processes to ingest new data sources and engineer and leverage “base” data tables.
• Establish a culture of collaboration and excellence within the team – and across the organization.  
• Explore and recommend innovative solutions to complex problems.
• Ensure our data assets meet our data quality standards.
• Have fun in a fast-paced, energetic environment.
  #LI-LP1

Qualifications

• 3+  years of relevant employment experience
• Strong knowledge of SQL, Google Big Query, Python, and Airflow for workflow management.
• Experience with automating geoprocessing of large datasets at scale, ideally using GCP, PostgreSQL, or Python.
• Experience with dbt or Google Dataform is a plus.
• Experience working in cross-functional teams and driving projects to successful completion.
• Hands-on approach to learning the Altice USA business to quickly and thoughtfully augment the strategic value of a unified analytics function. 
• Excellent communication and interpersonal skills to collaborate effectively with stakeholders at all levels.
• Strong understanding of database architecture, specifically as it relates to geospatial data.
• A sincere desire to automate anything that needs to be done more than once.
• Experience building modular solutions and reusable code.
• A strong base in business analytics using a combination of geospatial and non-geospatial databases.
• Good generalist experience, ideally working with all layers in the tech stack.  If you’re “good” in various technologies, we should talk.