Senior Data Engineer – Remote, Cloud ETL & Data Lakes

HeyClue

Argentina

Presencial

ARS 178.614.000 - 267.921.000

Jornada completa

14 días+

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Descripción de la vacante

HeyClue is seeking a Sr. Data Engineer to focus on backend development and integrations for enterprise data warehouses and data lakes. Strong English skills required for collaboration across LATAM teams.

The role involves designing scalable data systems, building robust ETL/ELT processes, and implementing data governance and security standards. Remote work from LATAM is supported, with USD contract terms.

Formación

  • Bachelor's degree or equivalent experience in CS/Engineering or related field.
  • 5+ years as Data Engineer or backend-focused role.
  • Proficient in Python/Java/Scala.

Responsabilidades

  • Design, develop, and maintain scalable backend systems for data warehousing and data lake initiatives.
  • Build and optimize ETL/ELT processes to move data from various sources into centralized repositories.
  • Develop integration solutions for data exchange between systems and platforms.
  • Collaborate with data architects and analysts to define data models and storage solutions.
  • Ensure data quality, security, and governance across pipelines and systems.
  • Monitor data pipelines for availability and performance; troubleshoot issues.
  • Stay updated on new data engineering technologies and trends.
  • Document technical designs and standards for the team.

Conocimientos

Python
Java
Scala
ETL/ELT
SQL
NoSQL
Data warehouses/lakes
Cloud platforms
REST/SOAP/JSON/XML
Data governance & security
Communication skills

Educación

Bachelor's degree in Computer Science/Engineering or related field

Herramientas

DBT
Docker
Kubernetes
Jenkins
Tableau
Power BI
Snowflake
Redshift
BigQuery

Descripción del empleo

HeyClue is seeking a Sr. Data Engineer to focus on backend development and integrations for enterprise data warehouses and data lakes. Strong English skills required for collaboration across LATAM teams.

The role involves designing scalable data systems, building robust ETL/ELT processes, and implementing data governance and security standards. Remote work from LATAM is supported, with USD contract terms.

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