The Role
Design, develop, test, and maintain Informatica-based data integration solutions. Build and support enterprise Data Warehouse and Data Lake platforms, develop and optimize large-scale ETL pipelines, troubleshoot performance and data quality issues, and collaborate with cross-functional teams to deliver scalable data solutions while improving architecture and processing performance.
Summary Generated by Built In
As a Senior Data Engineer – Informatica, you will:
- 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.
What You Bring to the Table:
- 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.
You Should Possess the Ability to:
- 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.
What We Bring to the Table:
- 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.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :132
LinkedIn: https://www.linkedin.com/in/asha-krishnan
Skills Required
- 5-7 years experience in data engineering, data integration, or ETL development
- Hands-on experience with Informatica for data extraction, transformation, and loading
- Proven experience working with Data Warehouse and Data Lake platforms
- Solid understanding of data modeling, ETL frameworks, and data processing concepts
- Experience working in complex, enterprise-scale data environments
- Exposure to Python
- Exposure to Apache Spark
- Ability to design and implement end-to-end data solutions and scalable ETL pipelines
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
.jpg)
