
Data Pipeline Architect
22 hours ago
As a highly skilled ETL specialist, you will be responsible for designing and deploying efficient data pipelines that drive business growth.
The ideal candidate will have hands-on experience with ETL development using Informatica and a strong understanding of data warehousing concepts. Additionally, proficiency in Python programming for data processing and automation is essential.
Key Responsibilities
- Design and develop scalable ETL solutions to process and transform large datasets.
- Work extensively with SQL to query, optimize, and manage data across systems.
- Implement and optimize data models following data warehousing best practices.
- Collaborate with cross-functional teams to deliver high-quality data insights.
- Monitor and troubleshoot data pipelines to ensure performance and data quality.
Qualifications
- 3–5 years of experience in data engineering or a related field.
- Strong proficiency in SQL and ETL development using Informatica.
- Proficient in Python programming for data processing and automation.
- Practical experience working with cloud-based data platforms.
- Understanding of data governance and data quality principles.
- Excellent problem-solving skills and ability to work in a collaborative environment.
Nice to Have
- Experience with MLOps pipelines or integration with machine learning models.
- Knowledge of other cloud platforms and their data engineering services.
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