Senior Spark Data Engineer - Remote, Flexible Hours

BairesDev

Mexico

On-site

PHP 6,691,000 - 10,341,000

Full time

13 days ago

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Benefits offered by this job

Remote work
USD or local currency compensation
Home office setup provided
Flexible hours
Parental leave & holidays
Multicultural global team
Mentorship & growth opportunities

Job summary

BairesDev is hiring a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will serve as a technical anchor, ensuring high-throughput pipelines are scalable and robust across cloud environments.

You will design, optimize, and orchestrate data workflows, collaborate with stakeholders, and drive data quality while working remotely on impactful projects for global clients.

Qualifications

  • 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 pipeline design and advanced SQL.
  • Proficiency in workflow orchestration and cloud data platforms or warehouses.
  • Advanced proficiency in English.

Responsibilities

  • Design and build 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.

Skills

Apache Spark
Scala
Python
ETL/ELT
SQL
Cloud platforms
English

Tools

Airflow

Job description

BairesDev is hiring a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will serve as a technical anchor, ensuring high-throughput pipelines are scalable and robust across cloud environments.

You will design, optimize, and orchestrate data workflows, collaborate with stakeholders, and drive data quality while working remotely on impactful projects for global clients.

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