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Data Engineer (Spark / Databricks / Snowflake)

Plexus Tech·Salary not specified

Primary stack

Apache SparkDatabricksSQLSnowflakeKafkaAirflowTerraform

Job description

About the Position

Data Engineer (Spark / Databricks / Snowflake)

Join Plexus Tech. We are currently looking for Data Engineering profiles to participate in the development of modern data platforms based on Spark, Databricks, and Data Lake / Lakehouse architectures.

You will join a data architecture team responsible for designing and maintaining data pipelines that support various analytical products and business systems.

Responsibilities

  • Design and maintain data pipelines
  • Develop data solutions using Spark, Databricks, and Snowflake
  • Implement data streaming with Kafka
  • Orchestrate pipelines with Airflow
  • Manage infrastructure with Terraform
  • Experience in the fashion/textile sector is highly valued

Requirements

  • Minimum 3 years of professional experience in:
    • Apache Spark (Scala or PySpark)
    • Databricks
    • SQL
    • Snowflake
    • Data Lake / Lakehouse architectures
    • Kafka (data streaming)
    • Airflow (pipeline orchestration)
    • Terraform (infrastructure as code)
    • Experience in the fashion/textile sector (highly valued)

We Offer

  • Work with leading professionals
  • Access to continuous training
  • Career growth opportunities
  • Flexible benefits in health insurance, meal vouchers, childcare, transportation

About the Company

With our hybrid model, Flexology, you can work from where your talent flows best: from any of our 24 workplaces in Spain, from your home, or combining both modalities. The Plexus Tech work ecosystem allows for a collaborative company environment.

© 2024 Plexus

© Plexus Tech. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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