Databricks Data Engineer / Developer

Location: Remote within Canada

Client: Consulting Client
Contract Duration: 6 months contract

MUST HAVE atleast 3+ years of hands-on Databricks development experience.

Overview

Our consulting client is seeking a Databricks Data Engineer / Developer to support a strategic Enterprise Data Platform (EDP) transformation initiative. The organization is modernizing its enterprise data landscape and building a next-generation data platform leveraging Databricks and modern cloud-based architecture. This role will play a key part in designing, developing, and implementing scalable data solutions that support enterprise reporting, analytics, AI initiatives, and future data-driven capabilities.

The ideal candidate will possess strong data engineering expertise, hands-on Databricks development experience, and a solid understanding of ETL/ELT processes, data integration, and modern data architecture. This individual will work closely with data architects, project managers, analysts, and business stakeholders to deliver high-quality data solutions within a rapidly evolving environment.

Key Responsibilities

• Design, develop, and maintain data pipelines within the Enterprise Data Platform (EDP).

• Build and optimize ETL/ELT processes to support data ingestion, transformation, and integration requirements.

• Make use of an Agentic approach to development and ensure that output matches development standards.

• Develop scalable and reusable data solutions using Databricks and cloud-based data technologies.

• Support migration and modernization activities from HANA environments to a modern data platform.

• Collaborate with Data Architects to implement scalable data models and platform solutions.

• Develop data transformation logic and workflows to support business and analytics requirements.

• Ensure data quality, integrity, consistency, and performance across platform solutions.

• Troubleshoot and resolve data-related issues, bottlenecks, and performance concerns.

• Participate in code reviews, testing, deployment, and release activities.

• Work closely with business and analytics teams to understand data requirements and deliver fit-for-purpose solutions.

• Contribute to platform best practices, documentation, and continuous improvement initiatives.

Requirements

MUST HAVE atleast 3+ years of hands-on Databricks development experience.

Required Qualifications

• 3+ years of hands-on Databricks development experience.

• 4+ years of overall Data Engineering, ETL, or Data Integration experience.

• Strong experience building ETL/ELT data pipelines and transformation processes.

• Proven experience working with large and complex datasets.

• Experience with Agentic frameworks and AI-assisted coding is a value add.

• Experience developing data solutions within cloud-based platforms.

• Solid understanding of data warehousing, data lake, and lakehouse concepts.

• Experience working in Agile delivery environments.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience supporting large data platform initiatives.

• Experience in significant data migration efforts.

• Experience with Azure Data Services and Databricks Lakehouse architecture.

• Experience with modern data engineering frameworks and best practices.

• Exposure to AI, GenAI, Machine Learning, or advanced analytics initiatives.

• Experience working in large enterprise or consulting environments.

• Knowledge of data governance, metadata management, and data quality frameworks.

Technical Knowledge

Required

• Databricks

• ETL / ELT Development

• Data Engineering

• Data Integration

• SQL

• Python

• Data Pipeline Development

• Data Transformation

• Data Warehousing Concepts

• Agile Delivery

Preferred

• Azure Data Factory

• Delta Lake

• Spark / PySpark

• Azure Synapse

• Data Lake