- Design, develop, test, and maintain data integration solutions using Informatica within complex data environments.
- Build, enhance, and support Data Warehouse and Data Lake platforms for enterprise analytics and reporting.
- Develop and optimize data pipelines handling large-scale structured and semi-structured data.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
- Participate in the continuous improvement of data architecture, performance, and data quality.
- 5–7 years of overall experience in data engineering, data integration, or ETL development.
- Strong hands‑on experience with Informatica for data extraction, transformation, and loading.
- Proven experience working with Data Warehouses and Data Lakes.
- Solid understanding of data modeling, ETL frameworks, and data processing concepts.
- Exposure to Python and Apache Spark is a strong advantage.
- Experience working in complex, enterprise‑scale data environments.
- Design and implement end‑to‑end data solutions aligned with business requirements.
- Build efficient, scalable, and high‑performance ETL pipelines.
- Analyze data flows and troubleshoot performance or data quality issues.
- Translate business and analytical needs into robust technical data solutions.
- Adapt quickly to evolving data technologies and platforms.
- Exposure to modern Data Warehouse and Data Lake architectures.
- Opportunity to work on enterprise‑level data integration initiatives.
- A collaborative and engineering‑driven work environment.
- Scope to enhance skills in Python and Spark‑based data processing.
- Long‑term growth within the data engineering and analytics domain.
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :132
Email: asha.k@stafide.nl
LinkedIn: https://www.linkedin.com/in/asha-krishnan
Salarisomschrijving
€60000 - €80000 monthly