Join an innovative team as a Data Engineer specializing in data pipeline optimization and ETL development. Utilize your expertise in SQL and Python to achieve high-quality reporting outcomes in a remote environment.
As a Data Engineer, you will design and implement scalable ETL/ELT pipelines. Collaborating closely with actuarial and analytics teams, you will ensure meticulous data lineage and automate validation processes. Your role is pivotal in maintaining data quality across cloud and hybrid systems.
Key Responsibilities:
• Create scalable ETL/ELT pipelines for data processing
• Design data models to improve reporting quality
• Ensure robust data lineage and provenance
• Implement automated monitoring and validation solutions
• Collaborate with cross-functional teams effectively
Requirements:
• Minimum 3 years’ experience in data engineering
• Solid knowledge of SQL and Python languages
• Familiarity with data warehouses/data marts
• Experience with cloud platforms (AWS/Azure/GCP)
• Knowledge of governance frameworks is a plus
Drive data quality and efficiency while working remotely as a Data Engineer optimizing pipelines.
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Apply on Kit Job: kitjob.ca/job/2fs5t7
📌 Data Engineer Focusing on Cloud Pipeline Optimization (Vancouver)
🏢 RAZOR
📍 Vancouver
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