Shape Databricks and AWS data foundations as a hands-on Senior Data Engineer building scalable pipelines and trusted data products.
This senior position transforms complex operational data into reusable products for analytics, AI, machine learning, and self-service decisions. You will develop lakehouse solutions with Spark, SQL, Python, Delta Lake, and Medallion Architecture. The work supports Tableau reporting, Databricks Genie, and Genie Code across enterprise functions.
Key Responsibilities: Design, test, and maintain scalable Databricks ETL and ELT pipelines
Build Delta Lake solutions using Medallion Architecture
Integrate structured and semi-structured enterprise data sources
Optimize workloads, queries, tables, compute, and pipeline performance
Implement orchestration, monitoring,



reconciliation, and automated recovery
Requirements: Hands-on experience with Databricks, Spark, SQL, Python, and AWS
Knowledge of dimensional models, star schemas, and standardized KPIs
Ability to create curated, reusable business-ready data products
Experience with Unity Catalog governance, lineage, and access controls
Understanding of testing, version control, Git, and CI/CD processes
Apply Databricks, AWS, Spark, and Python expertise to build governed data products supporting enterprise analytics and AI.

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📌 Senior Databricks Data Engineer (Quebec City)
🏢 Celebal Technologies
📍 Quebec City