Lead Azure Data Engineer - Databricks Lakehouse & ETL

Info Resume Edge; Phoenix (AZ); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading data solutions provider is looking for a Data Engineer to participate in the migration and modernization of Azure data systems to the Databricks Lakehouse Platform. Responsibilities include developing and optimizing ETL/ELT pipelines, collaborating with cross-functional teams, and ensuring solutions meet security and data quality standards. Ideal candidates will possess a Bachelor's degree in a relevant field and have hands-on experience with cloud-based data engineering, particularly within Azure ecosystems.

Qualifications

• Proven experience with cloud-based data engineering solutions, preferably Azure.
• Experience supporting cloud migration or modernization initiatives is a plus.
• Strong understanding of distributed data processing.

Responsibilities

• Participate in the migration of Azure data and analytics systems to Databricks.
• Design, develop, and maintain ETL/ELT pipelines using Azure tools.
• Optimize ingestion and transformation processes for reliability and cost efficiency.

Skills

SQL / T-SQL

Cloud-based data engineering

ETL/ELT concepts

Data modeling

Analytical problem solving

Excellent communication

Education

Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field

Job description

A leading data solutions provider is looking for a Data Engineer to participate in the migration and modernization of Azure data systems to the Databricks Lakehouse Platform. Responsibilities include developing and optimizing ETL/ELT pipelines, collaborating with cross-functional teams, and ensuring solutions meet security and data quality standards. Ideal candidates will possess a Bachelor's degree in a relevant field and have hands-on experience with cloud-based data engineering, particularly within Azure ecosystems.