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 Architecture - Cloud Data Platforms - Data Governance & Data Quality - CI/CD for Data Solutions Key Skills & Experience - Databricks Development - Data Engineering - ETL/ELT Design & Development - Enterprise Data Platforms - Data Modernization - Data Migration - Data Warehousing - Cloud Data Platforms - SQL & Python Development - Data Quality & Validation - Agile Delivery - Stakeholder Collaboration Ideal Candidate Profile We are seeking a developer who: ✅ Has hands-on Databricks experience and can contribute immediately ✅ Understands enterprise data concepts and platform modernization initiatives ✅ Has strong ETL/ELT and data engineering experience ✅ Can partner effectively with architects, project managers, and business teams ✅ Is comfortable working in a fast-paced, highly visible enterprise transformation program ✅ Can help build a scalable lakehouse architecture supporting reporting, analytics, and future AI capabilities

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/databricks-data-engineer-developer-paralucent