Principal Databricks Data Engineer Experience Required: 12–18 Years Key Requirements • 12–18 years of overall Data Engineering experience • 8+ years of experience with enterprise Data Warehouse and Data Lake platforms • 5+ years of hands-on
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Job Description Location: Toronto Work Model: Onsite (4 days/week) Key Requirements • 12–18 years of overall Data Engineering experience.
Job Title: Data Engineer/ Python Developer Job Location: Missisauga,Canada Job Type: Full-Time Job Description: Design, develop, and maintain software solutions using Python. Developed Python and pyspark programs for data analysis. Good working experience with python to
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience. 8+ years of
Responsibilities Design and build realtime and batch data pipelines for fraud detection and AML monitoring. Process streaming transaction data using Apache Spark and Kafka. Develop ETLELT workflows supporting customer transaction and risk datasets. Ensure data quality traceability
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Pricing is at the core of
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Pricing is at the core of
At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Pricing is at the core
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and
Principal Databricks Data Engineer Experience Required: 12–18 Years Key Requirements 12–18 years of overall Data Engineering experience 8+ years of experience with enterprise Data Warehouse and Data Lake platforms 5+ years of hands‑on experience with Databricks