Description

You will design and maintain data architecture to support business intelligence, reporting, and machine learning initiatives.

This role is hybrid.

Responsibilities

• Build and manage ETL pipelines to integrate, clean, and transform data across systems.
• Migrate existing data infrastructure to modern, cloud-based platforms to ensure scalability.
• Develop business intelligence solutions, including reports, dashboards, and data visualizations.
• Create and maintain data models and database designs that align with business requirements.
• Support machine learning initiatives by preparing data for analysis and modeling.

Required Skills

• 5+ years of experience in data engineering or a similar role.
• Advanced SQL skills for querying and data manipulation.
• Proficiency in the Microsoft Azure ecosystem, specifically Azure Data Factory and Azure Synapse Analytics.
• Hands-on experience with ETL processes and integration tools such as SSIS.
• Strong knowledge of data modeling and database design.
• Experience with Python for data engineering tasks.
• Degree in Computer Science, Data Science, Information Systems, or equivalent experience.

Preferred Skills

• Familiarity with Databricks for data engineering and analytics.
• Experience with machine learning workflows and data preparation.

Key Skills

Education

Any Graduate