Data Engineer Focusing on ETL Development and Quality Framework

Elevate your career as a Data Engineer specializing in ETL processes and data quality initiatives. Collaborate on cutting-edge Databricks projects while driving impactful data engineering solutions.

In this role, you will assess and enhance existing Databricks ETLs while selecting two pilot ETLs for implementation. You will also contribute to designing a robust Data Quality Framework, ensuring it meets the dynamic landscape of data engineering. This position offers a fantastic opportunity for professionals with a strong foundation in data analytics and engineering practices.

Key Responsibilities:

• Assess current Databricks ETLs for optimization
• Collaborate on selecting pilot ETLs for implementation
• Design and implement Data Quality Framework

Requirements

• Strong skills in Data Engineering (Spark, Databricks)
• Intermediate to advanced experience with Databricks or Azure Synapse
• Familiarity with Data Quality processes

Utilize your expertise in data engineering to design quality frameworks and enhance ETL processes, impacting data quality across diverse projects.

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