Description

You will design and implement data engineering processes to support analytics consumption.

This role is on-site.

Responsibilities

• Design, develop, and implement ETL processes to move data from disparate sources.
• Evaluate and resolve data quality, cleansing, integration, and migration issues.
• Define project expectations, principles, structures, and responsibilities.
• Analyze industry trends in cloud computing and distributed processing.
• Collaborate with engineering peers to develop leading data solutions.

Required Skills

• 5+ years of experience in data engineering.
• In-depth knowledge of Azure Data Factory (ADF) and Synapse PySpark.
• Strong experience with Spark Architecture and Databricks.
• Proven experience in ETL design and implementation.
• Familiarity with data modelling processes and standards.
• Ability to conduct research with recently developed technologies.
• Degree in Engineering, IT, or Mathematics.

Preferred Skills

• Experience providing technical expertise to maximize efficiency and reliability of data processes.

Key Skills

Education

Any Gradute