Data Engineer (RapidMiner / ETL / Data Integration)

Required Skills

• Experience with RapidMiner is a must have.

• Strong experience in data engineering or ETL development

• Proficiency in SQL and working with relational databases

• Experience with at least one ETL or data integration tool such as:

  • Informatica PowerCenter

  • Talend

  • Microsoft SQL Server Integration Services (SSIS)

  • Apache NiFi

  • Azure Data Factory

  • or similar platforms

• Understanding of data modeling concepts (star schema, normalization, etc.)

• Familiarity with scripting/programming languages such as Python

Preferred Skills

• Experience with RapidMiner or similar visual data workflow tools

• Exposure to big data technologies (e.g., Apache Spark)

• Knowledge of cloud platforms (Azure, AWS, or GCP)

• Experience supporting analytics or BI tools such as Power BI

• Understanding of machine learning workflows is a plus

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Nice to Have

• Experience with workflow orchestration tools (e.g., Apache Airflow)

• Familiarity with containerization (Docker/Kubernetes)

• Exposure to CI/CD practices in data pipelines

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data from multiple sources

• Build workflows using platforms such as RapidMiner or equivalent tools

• Perform data cleansing, transformation, and validation to ensure high-quality datasets

• Integrate data from databases, APIs, flat files, and cloud sources

• Optimize data pipelines for performance, scalability, and reliability

• Collaborate with data analysts, BI developers, and data scientists to deliver usable datasets

• Implement data governance, lineage, and monitoring practices

• Troubleshoot and resolve data-related issues in production environments