DataOps Engineer AWS

Position: DataOps Engineer with AWS Experience
Step into a key role in Toronto as a Senior Data Ops & Cloud Data Engineer. This onsite position emphasizes data lakehouse solutions, with a focus on AWS services and data transformations.
The role is a 1-year 11-month contract at 5700 Yonge St., requiring expertise in data engineering with technologies like pandas, pyspark, and Databricks. You will design, develop, and troubleshoot data pipelines, focusing on both data warehouses and lake houses. Your skills will be crucial for effective data handling and complex transformations.

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 lake houses and warehouses

• Troubleshoot and resolve data-related issues

• Engage with stakeholders to deliver robust data solutions
Requirements:

• Proficient in data engineering tools such as pandas and pyspark

• Knowledge of Databricks and data lakehouse strategies

• Experience with AWS services including S3 and Lambda

• Capable of working with structured and unstructured data

• Familiar with data formats: CSV, XLSX, JSON
Bring your strong AWS and data engineering skills to make a significant impact on this Toronto project.
#J-18808-Ljbffr