More jobs:
SAS Python Data Engineer
Job Description & How to Apply Below
Build scalable customer data pipelines with SAS, Python, and SQL at Adastra in a hybrid role across Canada. Modernize platforms supporting analytics and marketing.
As a SAS/Python Developer, you will develop trusted data assets for customer analytics, personalization, marketing, risk, and regulatory initiatives. Your work spans Base SAS, Macros, PROC SQL, pandas, PySpark, and enterprise data warehouses. You will transform customer data, migrate legacy processes, and support reliable Customer 360 datasets across the organization.
Key Responsibilities:- Design and maintain ETL/ELT pipelines across enterprise data sources
- Develop SAS programs for data marts and campaign selection
- Build Python processing solutions using pandas, PySpark, and SQL
- Migrate SAS processes to Python and Spark
- Implement data quality, reconciliation, and lineage controls
- Three-plus years of SAS development experience
- Two-plus years of Python development with pandas and SQL
- Experience with PySpark or distributed processing frameworks
- Strong SQL and enterprise data warehouse experience
- Bachelor’s or Master’s degree in a related field
Apply SAS, Python, SQL, and pipeline expertise to modernize Adastra’s trusted customer data platforms across Canada.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×