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Celebal Technologies

Databricks Data Engineer

Ottawa, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Role - Databricks Data Engineer

Location: Ottawa, Canada

Employment Type: Contract

Experience: 8+ Years

Company: Celebal Technologies

Role Overview

We are seeking a hands-on Lead Databricks Data Engineer to design, develop, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS.

Key Responsibilities

Design and develop scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Advanced SQL.
Implement Delta Lake and Medallion Architecture (Bronze/Silver/Gold).
Manage data governance, lineage, and access controls using Unity Catalog.
Build reusable data models, dimensional models, and AI-ready data products.
Optimize Spark workloads, clusters, and pipeline performance.
Implement Git, CI/CD, DataOps, data quality checks, and production monitoring.
Own end-to-end data engineering delivery, from requirements gathering to production deployment.

Required Skills

8+ years of hands-on enterprise data engineering experience.
Strong production Databricks experience, including PySpark, Delta Lake, and Unity Catalog.
Expertise in Advanced SQL, Python, Spark, and dimensional data modeling.
Experience with AWS or another major cloud platform.
Strong understanding of data governance, performance tuning, and CI/CD.
Ability to independently design and deliver scalable data engineering solutions.

Preferred Skills

Databricks Genie / AI/BI, semantic layers, and AI-ready data products.
Manufacturing, Supply Chain, ERP/MES, or Tableau experience.
Cloud migration, ML/MLOps, and data platform modernization.

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More about this job

Responsibilities

Design, build, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS, including Delta Lake and Medallion Architecture. Lead end-to-end delivery from requirements gathering through production deployment, with responsibility for governance, performance, CI/CD, data quality, and monitoring.

Requirements

Requires 8+ years of enterprise data engineering experience and strong production expertise with Databricks, PySpark, Delta Lake, Unity Catalog, Python, Spark, and advanced SQL. Candidates should also have cloud-platform experience and be able to independently design scalable solutions; experience with AI/BI, manufacturing or supply chain, Tableau, cloud migration, or MLOps is preferred.

Skills

Databricks
PySpark
Python
Advanced SQL
Apache Spark
Delta Lake
Unity Catalog
AWS
ETL/ELT
Medallion Architecture
Dimensional Data Modeling
Data Governance
CI/CD
DataOps
Performance Tuning
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
Advanced SQL
Apache Spark
Delta Lake
Unity Catalog
AWS
ETL/ELT Pipelines
Medallion Architecture
Bronze/Silver/Gold
Data Governance
Data Lineage
Access Controls
Dimensional Modeling
AI-Ready Data Products
Spark Workload Optimization
Git
CI/CD
DataOps
Data Quality Checks
Production Monitoring
Databricks Genie
AI/BI
Semantic Layers
Manufacturing
Supply Chain
ERP/MES
Tableau
MLOps

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