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Data Engineer; Remote
Remote / Online - Candidates ideally in
Poreta, Umbria, Italy
Listed on 2026-09-17
Poreta, Umbria, Italy
Listing for:
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Full Time, Remote/Work from Home
position Listed on 2026-09-17
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Location: Poreta
Role:
Data Engineer (Remote)
Location:
Remote (Work from Anywhere)
Role Overview :
Pronto/a a candidarsi? Prima di farlo, si assicuri di leggere tutti i dettagli relativi a questo lavoro nella descrizione sottostante.
We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines that support real-time and batch processing systems. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization.
Key Responsibilities:
Design and implement ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and lakes.
Develop and optimize data models to support analytics and reporting needs.
Collaborate with data scientists and analysts to ensure data quality and availability for downstream applications.
Monitor pipeline performance and troubleshoot issues to maintain system reliability.
Implement and enforce data governance, security, and compliance standards.
Required Skills &
Qualifications:
Proficiency in Python, SQL, and experience with data pipeline tools like Apache Airflow or similar.
Experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., Big Query, Redshift, S3).
Strong understanding of data warehousing concepts and dimensional modeling.
Familiarity with big data technologies (e.g., Spark, Hadoop) and streaming platforms (e.g., Kafka).
Knowledge of data governance, metadata management, and data quality frameworks.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable data infrastructure that powers enterprise-wide analytics. The position supports high-impact projects with a focus on innovation and efficiency.
Equal Opportunity
Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. xpavfwm
Apply Now!
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