Description

You will design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Pentaho Data Integration (PDI).

This role is on-site.

Responsibilities

• Build and optimize data workflows, mappings, and orchestration processes across multiple source systems.
• Monitor, troubleshoot, and enhance data pipelines to ensure performance, reliability, and data quality.
• Support cloud migration and modernization projects involving Azure data services.
• Implement data governance, security, and best practices across data integration processes.
• Collaborate with business analysts and architects to understand data requirements and implement scalable solutions.

Required Skills

• 4-6 years of experience in Data Engineering and ETL development.
• Hands-on experience with Azure Data Factory (ADF) and Pentaho Data Integration (PDI/Kettle).
• Strong proficiency in SQL and database concepts (SQL Server, Oracle, PostgreSQL, or Azure SQL).
• Experience with SQL, Python, or Shell Scripting for automation.
• Knowledge of ETL/ELT design patterns and data warehousing concepts.
• Familiarity with Azure Data Lake, Synapse Analytics, or Databricks.
• Understanding of data modeling and data quality frameworks.
• Experience with Git/version control practices.

Preferred Skills

• Exposure to Power BI or other reporting and analytics platforms.
• Experience in data migration and legacy modernization projects.

Key Skills

Education

Bachelor's degree