Data Engineer

Overview

Fulcrum Digital Inc is seeking a driven and innovative Data Engineer to take a lead role in designing and developing an Analytic Foundation—a comprehensive suite of commercial analytical capabilities including a robust data platform. This platform will provide its services through APIs delivering data and insights from a central data repository. The role involves close collaboration with various business units to build and elevate solutions that deliver value to clients.

Key Responsibilities

• Lead implementation of complex features within the analytics ecosystem.
• Innovate and push the limits of analytics and scalable application development.
• Construct and maintain high-performance analytics and data models for scalable product support.
• Ensure code quality through well-tested and efficient coding practices, including code review.
• Mentor junior engineers and teammates to foster skill growth.
• Enhance team development methodologies through innovative process improvements.
• Collaborate with Product Managers and Customer Experience Designers to deeply understand user needs and translate these insights into new features and modules.
• Work effectively in cross-functional teams with passionate peers.

Candidate Profile

• Minimum of 4 years experience in full-stack engineering within agile, production environments.
• Proven expertise in designing and implementing complex features in full-stack applications.
• Ability to navigate seamlessly between business, data management, and technical domains, understanding business use cases and translating them into technical solutions.
• Strong knowledge with open source tools and advanced data techniques including predictive analytics, machine learning, and advanced statistics.
• Proficient in programming languages such as Python or Scala, and expertise with Spark and Hadoop ecosystem tools like Hive, Impala, Airflow, NiFi, and Scoop.
• Experience in constructing and deploying production-grade data-driven applications, processing pipelines, and machine learning systems across data ingestion, feature engineering, modeling, evaluation, and monitoring stages.
• Hands-on experience with cloud platforms like Databricks, AWS, or Azure.
• Strong passion for analytical and quantitative problem-solving approaches with a customer-focused mindset.
• Demonstrated ability to identify and execute technical improvements in development workflows.
• Excellent collaboration skills, working across functional roles and geographic locations.
• Self-motivated, creative, and capable of thriving in small project teams.
• Strong academic credentials with a degree in Computer Science or related technical disciplines.
• Fluent in English with strong written and verbal communication capabilities.