Data Engineer / Developer

🕒 August 5

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 67%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paralucent

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Paralucent is a company that operates at the intersection of technology and creativity, focusing on driving automation and fusing intelligence to empower productivity. They aim to simplify documentation and enhance business processes through innovative technology solutions. Paralucent offers its expertise to clients seeking to integrate advanced AI solutions into their operations, helping them to optimize their workflows and increase efficiency.

📋 Description

• Design, develop, and maintain data pipelines within the Enterprise Data Platform (EDP) • Build and optimize ETL/ELT processes for data ingestion, transformation, and integration • Use an Agentic approach to development and ensure outputs meet development standards • Develop scalable and reusable data solutions with Databricks and cloud-based data technologies • Support migration and modernization from HANA environments to a modern data platform • Collaborate with Data Architects on scalable data models and platform solutions • Develop transformation logic and workflows for business and analytics requirements • Ensure data quality, integrity, consistency, and performance • Troubleshoot data issues, bottlenecks, and performance concerns • Participate in code reviews, testing, deployment, and release activities • Work with business and analytics teams to understand requirements and deliver fit-for-purpose solutions • Contribute to platform best practices, documentation, and continuous improvement

🎯 Requirements

• At least 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 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 • Experience with Agentic frameworks and AI-assisted coding is a value add • Preferred: experience supporting large data platform initiatives • Preferred: experience in significant data migration efforts • Preferred: Azure Data Services and Databricks Lakehouse architecture experience • Preferred: modern data engineering frameworks and best practices • Preferred: exposure to AI, GenAI, Machine Learning, or advanced analytics initiatives • Preferred: large enterprise or consulting environment experience • Preferred: knowledge of data governance, metadata management, and data quality frameworks • Must be authorized to work in Canada

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