Transform enterprise data challenges as a versatile Data Engineer. Engage directly with clients while developing robust ETL pipelines and data infrastructures for effective analytics and reporting.This position involves 5+ years of experience in data engineering with a focus on designing reliable and scalable data solutions. You will tackle high-volume data ingestion and pipeline management using cloud environments. Solid programming skills in SQL and Python are essential for success in this role.Key Responsibilities:
Design and build scalable ETL/ELT pipelines on cloud platforms
Develop and manage data warehouse solutions in Google BigQuery
Implement data models and ensure optimal performance




Collaborate with stakeholders to align technical solutions with business needs
Monitor and optimize data infrastructure for high reliabilityRequirements:
5+ years of data engineering experience
Robust SQL and Python programming skills
Experience with cloud settings like GCP, AWS, or Azure
Knowledge of ETL pipeline orchestration tools like Databricks
Familiarity with database systems like MongoDB and ElasticsearchShape impactful data solutions that bridge the gap between technical execution and strategic business objectives.#J-18808-Ljbffr

📌 Remote Data Engineer Focused On Scalable Etl And Client Solutions Calgary (Canada)
🏢 ShyftLabs
📍 Canada