Remote Data Engineer — ELT Pipelines & AWS Data Platform

Mentor Talent Acquisition

Genova

In loco

EUR 70.000 - 110.000

Tempo pieno

7 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

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

You will collaborate with Backend and Frontend Engineers and Product to define data requirements, monitor pipelines, ensure data quality, and improve observability while driving performance and cost efficiency.

Competenze

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

Mansioni

  • Design, build and maintain scalable ELT pipelines.
  • Operate data workflows on AWS (Lambda, Step Functions, S3, Batch).
  • Evolve Data Platform architecture (Medallion pattern).
  • Ensure data quality, consistency and reliability across pipelines.
  • Optimize transformations for performance and cost.
  • Collaborate with Backend and Frontend Engineers and Product to define data requirements.
  • Monitor pipelines and improve observability.
  • Document data models and architecture decisions.

Conoscenze

Python
ETL/ELT pipelines
AWS (Lambda/Step Functions/S3)
Medallion Architecture
SQL
Structured data concepts (JSON/CSV/Par

Strumenti

Docker
Terraform
ClickHouse/Redshift/BigQuery

Descrizione del lavoro

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

You will collaborate with Backend and Frontend Engineers and Product to define data requirements, monitor pipelines, ensure data quality, and improve observability while driving performance and cost efficiency.

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