Data Engineer

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Blanc Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💸 Finance

☁️ SaaS

💰 Venture Round on 2016-12

B2B • Finance • SaaS

Blanc Labs is a full-service technology consulting firm focused on helping clients realize their full potential through the creative use of technology. They specialize in digital transformation, technology strategy and implementation, API management, AI, analytics, and automation. Their services include systems integration and business process improvement, especially in the financial services and healthcare sectors. Blanc Labs partners with industry leaders to enable innovative customer experiences and achieve measurable business outcomes, with a strong presence in the Canadian market.

📋 Description

• Design, build, and maintain scalable data pipelines using Databricks and Apache Spark • Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems • Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization • Write clean, efficient, and maintainable code in Python for data processing and automation • Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs • Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency • Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers • Support integration of structured and unstructured data sources into unified data platforms • Participate in code reviews and promote data engineering best practices across the team • Document data pipelines, transformations, and architecture for team visibility and maintainability • Collaborate with cross-functional teams to support analytics, reporting, and downstream AI/ML use cases

🎯 Requirements

• 3+ years of experience in data engineering or a related field • Strong hands-on experience with Databricks for data processing and analytics workloads • Proficiency with Apache Spark for large-scale distributed data processing • Experience implementing CDC solutions and tools (e.g., Debezium or similar) • Strong programming skills in Python for data engineering tasks • Solid understanding of SQL and relational database concepts • Experience building and maintaining ETL/ELT pipelines in production environments • Understanding of data modeling principles and data warehousing concepts • Strong analytical and problem-solving skills • Good communication skills, with the ability to work across technical and business teams.

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities