TL;DR
Staff Data Engineer: Building and optimizing data pipelines and systems on Azure with an accent on ETL/ELT processes, data modeling, and predictive modeling. Focus on designing scalable data solutions, integrating various Azure services, and ensuring data quality for analytical and business intelligence needs.
Location: 100% Remote Portugal
Company
hirify.global is a specialized IT consulting partner with 18 years of experience, aiming to grow while maintaining an agile, people-centered, and fun culture.
What you will do
- Build and optimize data pipelines and data flows using Azure Data Factory, functions, and Logic Apps.
- Develop and maintain data solutions using Azure SQL Database, stored procedures, and views.
- Leverage Azure Databricks for advanced data processing and analytics.
- Implement ETL/ELT processes and CI/CD pipelines to ensure data quality and efficient deployment.
- Apply various data modeling methodologies (Kimball, Inmon, Data Vault) to design robust data architectures.
- Develop and integrate predictive models to support business intelligence and decision-making.
Requirements
- 8+ Years of Experience in a similar role.
- Strong experience with Azure Data Factory, Azure Functions, Logic Apps, and Azure SQL Database.
- Expertise in Azure Databricks.
- Proficiency in SQL and Python.
- Vast experience with ETL/ELT, CI/CD tools, and Terraform.
- Strong understanding of data modeling methodologies (Kimball, Inmon, Data Vault).
- Experience in predictive modeling.
Nice to have
- Basic understanding of PowerBI and other BI tools like Tableau or Spotfire.
Culture & Benefits
- No-term full-time contract.
- Health Insurance.
- 22 days of paid vacation + 4 extra days annually.
- Meal Allowance on card (Covercoverflex).
- Annual training budget.
- Team-oriented culture with challenging projects and opportunities for growth in a dynamically growing international company.
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