Remote Data Engineer for ELT Pipelines on AWS

Mentor Talent Acquisition; Cagliari; In loco; EUR 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote options

Office weeks in Vienna

Modern data stack

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer who enjoys building reliable data pipelines. You will design and operate scalable ELT processes powering analytics, reporting, and core product features.

Proficiency with Python, SQL and AWS is expected, along with understanding modern data architecture and data quality practices. You’ll collaborate with Backend/Frontend engineers and Product to define data requirements, optimize transformations for performance and cost, monitor pipelines, and

Competenze

• Strong Python skills for data processing.
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with AWS (Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and dimensional data modeling.
• Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs).
• 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, etc.).
• 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

SQL

Medallion architecture

Data quality

CI/CD

Git

Docker

Terraform

Strumenti

Docker

Terraform

Descrizione del lavoro

Mentor Talent Acquisition is seeking a Data Engineer who enjoys building reliable data pipelines. You will design and operate scalable ELT processes powering analytics, reporting, and core product features.

Proficiency with Python, SQL and AWS is expected, along with understanding modern data architecture and data quality practices. You’ll collaborate with Backend/Frontend engineers and Product to define data requirements, optimize transformations for performance and cost, monitor pipelines, and