Remote Data Engineer — ELT Pipelines & AWS Mastery

Mentor Talent Acquisition

Vicenza

Ibrido

EUR 70.000 - 110.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Hybrid work model
Quarterly office weeks in Vienna

Descrizione del lavoro

Mentor Talent Acquisition seeks a Data Engineer to design and operate scalable ELT pipelines powering analytics and core product features. You will work with Python, SQL and AWS, focusing on data quality, performance and maintainability.

Join a global team with remote-friendly policies and quarterly office weeks in Vienna, contributing to a modern data platform and evolving architecture. You will collaborate with Backend and Frontend engineers, document data models, and help drive data strategy

Competenze

  • Experience building ETL/ELT pipelines in production environments.
  • Strong Python skills for data processing.
  • Strong SQL skills and experience with dimensional data modeling.
  • 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 Lambda
Medallion Architecture
SQL
Dimensional modeling
Data quality
Git CI/CD

Strumenti

Terraform
Docker
ClickHouse
Redshift
BigQuery

Descrizione del lavoro

Mentor Talent Acquisition seeks a Data Engineer to design and operate scalable ELT pipelines powering analytics and core product features. You will work with Python, SQL and AWS, focusing on data quality, performance and maintainability.

Join a global team with remote-friendly policies and quarterly office weeks in Vienna, contributing to a modern data platform and evolving architecture. You will collaborate with Backend and Frontend engineers, document data models, and help drive data strategy

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