Overview
Hybrid
$60 - $65
Contract - W2
Contract - 12 Month(s)
Skills
ADF
ELT
Pentaho
Python
SQL
Scripting
Data Validation
Data Integrity
Cloud Computing
Data Engineering
Data Processing
Data Modeling
Extract
Transform
Load
Documentation
Version Control
Microsoft Azure
Data Lake
Collaboration
Knowledge Transfer
Migration
Data Integration
Data Manipulation
Automated Testing
Azure
Azure Data Factory
Job Details
Skilled Python Engineers for Pentaho migration
We re seeking a skilled Python Engineer to support the migration of legacy ETL pipelines built in Pentaho Data Integration (PDI/Spoon) to modern cloud-based solutions such as Azure Data Factory (ADF). This role involves translating transformation logic, validating data integrity, and collaborating with cross-functional teams to ensure a smooth transition.
Key Responsibilities
- Analyze and document existing Pentaho ETL jobs, transformations, and data flows.
- Translate Pentaho logic into Python scripts and/or ADF pipeline components.
- Develop and maintain scalable Python-based data processing solutions.
- Validate data accuracy post-migration using automated testing and SQL queries.
- Collaborate with data engineers, architects, and QA teams to troubleshoot issues.
- Create technical documentation and participate in knowledge transfer sessions.
Required Skills
- Strong proficiency in Python for data manipulation and automation.
- Hands-on experience with Pentaho Data Integration (PDI).
- Solid understanding of ETL/ELT concepts, data warehousing, and data modeling.
- Experience with SQL (joins, aggregations, subqueries).
- Familiarity with Azure Data Factory, cloud storage (Blob, Data Lake), and DevOps tools.
- Version control using Git or Azure DevOps.
- Basic scripting in PowerShell or Shell is a plus.
Qualifications
- Bachelor s degree in Computer Science, Engineering, or related field.
- 5 7 years of experience in data engineering or ETL development.
- Prior experience in migration projects is highly desirable.
Soft Skills
- Detail-oriented with a meticulous approach to data validation.
- Strong communication and documentation abilities.
- Collaborative mindset with a proactive attitude.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.