Remote Data Engineer: Build Scalable ELT Pipelines

Mentor Talent Acquisition; Arezzo; Ibrido; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to design and operate scalable ELT pipelines and data workflows on AWS, ensuring high data quality and performance. You will contribute to the Data Platform architecture and collaborate with cross-functional teams to meet data requirements.

You will work on a modern data stack, instrument pipelines for observability, and document data models and architecture decisions. Hybrid/remote options with focus on owning end-to-end data delivery.

Competenze

• Strong Python skills for data processing.
• Experience building ETL/ELT pipelines in production.
• Solid AWS experience (Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and dimensional modeling.
• Experience with JSON, CSV, Parquet, APIs data formats.
• Understanding of data validation and data quality practices.
• Experience with Git and CI/CD.

Mansioni

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch).
• Contribute to the evolution of our Data Platform architecture (Medallion architecture).
• Ensure data quality, consistency, and reliability across pipelines.
• Optimize data transformations for performance and cost efficiency.
• Collaborate with Backend and Frontend Engineers and Product to define data requirements.
• Monitor pipelines, troubleshoot issues and improve observability.
• Document data models, transformations and architecture decisions.

Conoscenze

Python

ETL/ELT pipelines

AWS services

Medallion architecture

SQL

Data quality

Git CI/CD

Structured data formats

Strumenti

Terraform

Docker

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer to design and operate scalable ELT pipelines and data workflows on AWS, ensuring high data quality and performance. You will contribute to the Data Platform architecture and collaborate with cross-functional teams to meet data requirements.

You will work on a modern data stack, instrument pipelines for observability, and document data models and architecture decisions. Hybrid/remote options with focus on owning end-to-end data delivery.