Senior Data Engineer – Cloud Lakehouse

• Design and build innovative data solutions within an agile data engineering team
• Modernize the data platform to enhance product offerings and maximize the value of data for reporting, analytics, and decision-making
• Develop and maintain data solutions and products, including data transformation, data modelling, and reporting across on-premises and cloud environments
• Build scalable, flexible data lake/lakehouse architectures
• Leverage domain events for efficient, real-time data processing
• Adopt generative AI features such as Amazon Q and Copilot for analytics and self-service capabilities
• Build performant, scalable, and accessible solutions delivering actionable insights
• Automate data engineering processes, implement CI/CD pipelines, and optimize ETL/ELT flows
• Translate business requirements into technical solutions, document GAPs, and align with Architects
• Facilitate data discovery and data management using platforms such as Open Metadata
• Maintain KPI accuracy and documentation; support data quality and compliance standards
• Experiment with new approaches supporting the A&I department strategy
• Support and maintain data products, including release management, incident troubleshooting, and on-call support as necessary

Requirements

• 5+ years of experience in data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures
• Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments
• Strong knowledge of AWS (S3, Redshift) or Azure data services
• Experience with ETL/ELT processes and data ingestion
• Proven expertise using transformation tools such as dbt
• Experience with data pipeline orchestration tools such as Apache Airflow
• Experience with best practices applied to data, including testing and CI/CD
• Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight is advantageous
• Experience with generative AI applications in data analytics is advantageous
• Java experience is nice to have

Core Competencies

Demonstrates expertise in designing and implementing scalable data architectures, leveraging cloud services and modern data solutions to enhance analytics and decision-making. Proficient in automating data engineering processes and ensuring data quality and compliance standards.

Highest-signal resume keywords

• Data Engineering
• Data Lake/Lakehouse Architecture
• AWS Data Services
• ETL/ELT Processes
• Data Pipeline Orchestration

Hard Skills

• Data Transformation
• Data Modelling
• Data Reporting
• CI/CD Implementation
• KPI Documentation
• Data Quality Management
• Generative AI Applications
• Apache Iceberg
• Dbt
• Apache Airflow

Industry Keywords

• Agile Data Engineering
• Data Solutions
• Data Discovery
• Data Management
• Incident Troubleshooting

Tools & Technologies

• AWS S3
• AWS Redshift
• Power BI
• Amazon QuickSight
• Open Metadata