Senior Data Engineer - Databricks & AWS | 100% Remote

Neura Market

Buenos Aires

Presencial

ARS 89.820.000 - 134.731.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

100% Remote
USD Remuneration
Profit Sharing
Paid Time Off

Descripción de la vacante

Azumo is seeking a highly motivated Big Data Engineer to develop and enhance scalable data and analytics infrastructure. This fully remote role is based in Latin America, with compensation commensurate with experience.

You will design and maintain ETL/ELT pipelines using Databricks and AWS, build analytics-ready datasets, and implement data governance and observability. Strong SQL, Python, and data modeling skills are required, along with collaboration across product, analytics, and engineering

Formación

  • BS or MS in CS or related field or equivalent experience.
  • 5+ years in data-related and data management roles.
  • Experience designing data warehouses and big data analytics systems.
  • Hands-on data manipulation, analysis and visualization.
  • Professional English proficiency (B2/C1).

Responsabilidades

  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS.
  • Improve ingestion pipeline quality, reliability, scalability, and governance.
  • Develop and optimize core data models and foundational data tables.
  • Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting.
  • Implement data governance, data quality, lineage, and observability practices.
  • Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making.
  • Optimize large-scale data processing workflows for performance and cost efficiency.
  • Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics.
  • Contribute to unification of fragmented data ecosystems across multiple game teams and organizations.
  • Build and maintain reliable orchestration workflows and scheduling systems.
  • Participate in architectural discussions around scalability, governance, and data platform modernization.

Conocimientos

Databricks
SQL
Python
ETL pipelines
AWS
DBT
Airflow
Data modeling
Data governance
Analytics engineering
Communication
Independent work

Educación

BS or Master's in Computer Science

Herramientas

DBT
Apache Airflow

Descripción del empleo

Azumo is seeking a highly motivated Big Data Engineer to develop and enhance scalable data and analytics infrastructure. This fully remote role is based in Latin America, with compensation commensurate with experience.

You will design and maintain ETL/ELT pipelines using Databricks and AWS, build analytics-ready datasets, and implement data governance and observability. Strong SQL, Python, and data modeling skills are required, along with collaboration across product, analytics, and engineering

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