TL;DR
Senior Data Engineer (Capacity & Forecasting Systems): Designing and optimizing the data foundation for an automated storage capacity forecasting platform with an accent on PostgreSQL data models, Python ETL pipelines, and PowerBI analytics. Focus on enabling predictive insights for MSPs, ensuring data quality, and collaborating on end-to-end data workflows.
Location: Remote (work from anywhere)
Company
hirify.global is an IT services company working with ConnectWise, a US-based software company providing business automation solutions for Managed Service Providers (MSPs).
What you will do
- Design and optimize PostgreSQL data models for historical capacity and lifecycle tracking.
- Build and maintain robust ETL pipelines using Python for structured and semi-structured (JSON) data.
- Aggregate and structure data by Region, Node Type, and time dimensions.
- Support time-series analysis and capacity forecasting use cases.
- Develop and enable PowerBI datasets, models, and reports based on clean, reliable data.
- Ensure data quality, performance, and scalability across the pipeline.
Requirements
- 5+ years of experience as a Data Engineer or in a similar data-focused role.
- Strong proficiency in SQL and relational databases, preferably PostgreSQL.
- Solid experience with Python for data transformation and pipeline development.
- Proven track record of building and optimizing ETL processes.
- Practical experience with PowerBI, including dataset modeling and report creation.
- Upper-Intermediate level of English.
Nice to have
- Experience with Kibana or other BI / visualization tools.
- Familiarity with monitoring, infrastructure, or capacity planning data.
- Exposure to forecasting techniques or growth trend analysis.
Culture & Benefits
- Diversity of domains & businesses and variety of technology.
- Health & legal support.
- Active professional community and continuous education.
- Flexible schedule and remote work.
- Sports and community activities.
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