Data Analyst with Python and Dataiku
JOB Description: Design and implement ETL/ELT processes using Python and Dataiku Perform small enhancements, bug fixes, and performance improvements on existing data pipelines, workflows, and models Strong hands-on experience with Dataiku DSS Proficiency in Python (Pandas, NumPy, Scikit-learn, PySpark preferred) Experience working with AWS ecosystem, including: S3 (Storage) EC2 (Compute) Glue (ETL) Redshift (Data Warehouse) Lambda/SageMaker (preferred) Strong knowledge of SQL and database management Experience with data modeling and pipeline orchestration Familiarity with REST APIs and data i…
- On-site
- Posted Jun 26, 2026
- 1 position
Job summary
JOB Description: Design and implement ETL/ELT processes using Python and Dataiku Perform small enhancements, bug fixes, and performance improvements on existing data pipelines, workflows, and models Strong hands-on experience with Dataiku DSS Proficiency in Python (Pandas, NumPy, Scikit-learn, PySpark preferred) Experience working with AWS ecosystem, including: S3 (Storage) EC2 (Compute) Glue (ETL) Redshift (Data Warehouse) Lambda/SageMaker (preferred) Strong knowledge of SQL and database management Experience with data modeling and pipeline orchestration Familiarity with REST APIs and data integration techniques
What you’ll do
Design and implement ETL/ELT processes using Python and Dataiku. Perform enhancements, bug fixes, and performance improvements on existing data pipelines, workflows, and models.
Requirements
Strong hands-on experience with Dataiku and proficiency in Python are required. Experience with the AWS ecosystem and strong knowledge of SQL and database management are also necessary.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Dataiku
- ETL
- ELT
- SQL
- Data Modeling
- AWS
- Pandas
- NumPy
- Scikit-learn
- PySpark
- S3
- EC2
- Glue
- Redshift
- REST APIs
Additional details
- Minimum experience
- 5+ years