Data Engineer

About the role

Enable the Data and Analytics team, along with other business units, to easily access, organize and understand data from multiple data sources for faster in-depth analytics and modeling.

Key responsibilities

• Build, maintain, and optimize data pipelines for ingestion, transformation, and delivery across the Enterprise Data Platform (EDP)
• Design and maintain data models and schemas that support analytics and reporting needs
• Maintain and update EDP-related data dictionaries and documentation
• Monitor, troubleshoot, and resolve issues in data pipelines and operationalized outputs to ensure reliability and uptime
• Implement data quality checks and validation processes across pipelines
• Collaborate with Data Scientists, Analysts, and other stakeholders to clarify requirements and deliver data solutions
• Coordinate with IT and business units to ensure data accessibility, security, and usability across the platform

About you

• Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field
• Proficiency in SQL and Python (PySpark preferred)
• Experience with cloud data platforms (Azure, Databricks, or equivalent)
• Familiarity with ETL/ELT pipeline design, orchestration, and scheduling tools
• Understanding of data modeling, data warehousing, and medallion/layered architecture concepts
• Exposure to data governance, data quality, or metadata management tools is a plus
• Quick to adapt to new technologies, tools, and approaches in data engineering
• Skilled at working within cross-functional teams
• Displays creativity in problem-solving and actively seeks improvements
• Demonstrates strong technical acumen and commitment to high-quality deliverables