Opportunity Description
Elevate your career as a Senior DataOps & Cloud Data Engineer in Toronto! This onsite role focuses on AWS services and data lakehouse solutions while enabling impactful data transformations.
In this 1-year 11-month contract position, you will utilize your data engineering expertise to optimize data lakes and warehouses. Your work will involve key technologies such as pandas, pyspark, and Databricks to design, develop, and troubleshoot robust data pipelines. Collaborate effectively with stakeholders to deliver innovative data solutions.
Key Responsibilities:
• Implement data pipelines using AWS Glue and Azure Data Factory
• Carry out complex data transformations as required
• Develop and maintain data models for lakehouses and warehouses
• Troubleshoot and resolve data-related issues
• Engage with stakeholders to deliver robust data solutions
Requirements:
• Proficient in data engineering tools like pandas and pyspark
• Knowledge of Databricks and data lake...
In this 1-year 11-month contract position, you will utilize your data engineering expertise to optimize data lakes and warehouses. Your work will involve key technologies such as pandas, pyspark, and Databricks to design, develop, and troubleshoot robust data pipelines. Collaborate effectively with stakeholders to deliver innovative data solutions.
Key Responsibilities:
• Implement data pipelines using AWS Glue and Azure Data Factory
• Carry out complex data transformations as required
• Develop and maintain data models for lakehouses and warehouses
• Troubleshoot and resolve data-related issues
• Engage with stakeholders to deliver robust data solutions
Requirements:
• Proficient in data engineering tools like pandas and pyspark
• Knowledge of Databricks and data lake...
Interested in this opportunity? Apply now through Expertini.
Apply for this Position