MND Systems

Role Overview 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 Bachelors degree in Computer Science, Engineering, or related field. 5 to 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.