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# Platform Engineer

- **Company:** OpenKyber LLC
- **Location:** Atlanta, GA, United States
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Information Systems, Information Engineering, Data Files, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Entity Relationship Models, Python (Programming Language), Machine Learning, SQL Databases, Information Technology, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/jobad/us1560b99d9af31ac354777e74bfd57dca

## About the Role

* Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or an equivalent combination of education, training, and experience.
 * Strong proficiency in SQL and Python.
 * Experience designing, developing, and supporting data pipelines, ETL/ELT processes, and enterprise data integration solutions.
 * Experience with data modeling, data warehousing, and supporting analytics and reporting.
 * Experience working with large and complex data sets while ensuring data quality, integrity, and reliability.
 * Working knowledge of Enterprise Asset Management (EAM) systems and/or geographic information systems (GIS).

## Description

2 DAYS A WEEK ON SITE WED/THURS EVERY OTHER FRIDAY STRONG PYTHON AND SQL Essential Functions

 * Develop and optimize Python-based data transformation workflows, models, and pipelines that integrate Maximo and GIS data sources.
 * Design, develop and maintain scalable data warehouses using SQL that support reporting and analytics.
 * Develop and maintain entity relationship diagrams (ERDs) and technical documentation to support strong data governance.
 * Ensure data quality, integrity, and availability through automated monitoring, testing, validation, reconciliation processes, and data engineering best practices.
 * Collaborate with subject matter experts, analysts, business stakeholders, and technology teams to implement Databricks as a scalable data platform that supports machine learning, and predictive maintenance initiatives.