A leading provider of technology-driven data solutions that empower businesses with transformative insights, this company is a pioneer in data intelligence and is currently seeking to build a new, predictive model.

In this role, you will design, build, and maintain high-performance data pipelines using tools like Dagster and Python. You'll process diverse data sources, collaborate with data teams, and optimize data workflows for both real-time and batch processing. You'll also contribute to data architecture, ensure data governance and security, and maintain comprehensive documentation.

Technical Skills:

• Proficiency in pipeline orchestration tools (e.g., Dagster, Airflow)
• Strong Python programming skills with experience in libraries like Pandas and PySpark
• Expertise in cloud platforms, particularly AWS (e.g., S3, Lambda, Redshift, RDS)
• Deep understanding of data modeling, ETL workflows, and scalable architecture design
• Familiarity with integrating machine learning models into production workflows

Experience:

• 3+ years of experience in a Data Engineering role, with experience in mid-to-senior capacity
• Proven track record of working with live datasets and building end-to-end data pipelines
• Strong SQL skills for querying and managing large datasets
• Hands-on experience in creating architectural diagrams and delivering technical presentations

A big bonus if you have..

• Experience in building and optimizing propensity models or similar predictive analytics models
• Strong understanding of feature engineering, predictive modeling, and evaluation metrics
• Experience with version control tools (e.g., Git) and CI/CD pipelines

Intrigued? Drop me a message!