Senior Spark Data Engineer - Remote & High-Impact Pipelines

BairesDev

United States

Remoto

MXN 1.676.000 - 2.421.000

Tempo pieno

Proprio ora
Candidati tra i primi

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Vantaggi offerti da questo lavoro

100% remote work
USD or local currency payment
Hardware provided
Flexible hours
Parental leave
Global, multicultural team

Descrizione del lavoro

Join BairesDev as a Senior Spark Data Engineer and design scalable, high-throughput data pipelines using Spark, Python, and Scala. You will craft robust data models, automate complex processing schedules, and ensure data quality across cloud environments.

We offer a fully remote role with flexible hours and competitive compensation in USD or your local currency, backed by a diverse, global team of top tech talent. Apply to shape impactful data solutions with partners worldwide.

Competenze

  • 5+ years of experience in Data Engineering, Spark Development, or a related field.
  • Proven expertise in Apache Spark, Scala, and Python.
  • Strong hands-on experience with ETL/ELT pipelines and SQL.
  • Experience with workflow orchestration and cloud data platforms.
  • Advanced proficiency in English.

Mansioni

  • Design and optimize high-performance data pipelines using distributed computing frameworks.
  • Build structured, scalable data models and efficient extraction processes.
  • Implement robust workflow orchestration to automate complex processing schedules.
  • Ensure data integrity and quality across modern cloud data environments.
  • Collaborate with stakeholders to translate complex requirements into reliable data solutions.

Conoscenze

Spark Development
Python
Scala
SQL
ETL/ELT
Workflow orchestration
Cloud data platforms
English proficiency

Descrizione del lavoro

Join BairesDev as a Senior Spark Data Engineer and design scalable, high-throughput data pipelines using Spark, Python, and Scala. You will craft robust data models, automate complex processing schedules, and ensure data quality across cloud environments.

We offer a fully remote role with flexible hours and competitive compensation in USD or your local currency, backed by a diverse, global team of top tech talent. Apply to shape impactful data solutions with partners worldwide.

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