Join a Data Engineering Team to Optimize ETLs and Quality

Become a Data Engineer and lead ETL enhancements while fostering data quality frameworks in modern analytics. Work with innovative tools like Databricks to improve the data landscape.

As a Data Engineer, you will focus on optimizing current Databricks ETLs and participate in selecting key pilot projects. Your role will also include designing and implementing a comprehensive Data Quality Framework tailored to enhance data engineering processes. This position invites those passionate about data excellence and ETL optimization.

Key Responsibilities:

• Optimize existing Databricks ETLs for efficiency
• Select and implement two pilot ETLs for testing
• Design Data Quality Framework for data integrity

Requirements

• Strong background in Data Engineering, specifically Databricks
• Intermediate to advanced skills in Databricks or Azure Synapse
• Understanding of Data Quality standards and practices

Shape the future of data engineering by implementing robust frameworks that ensure high data quality and optimize ETL workflows.

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