Data Engineer (Spark / Databricks / Snowflake), hibrido

Plexus
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Airflow
Business Systems
Data Architecture
Information Engineering
Scala
SQL Databases
Data Streaming
Snowflake
Spark
Data Lake
PySpark
Kafka
Terraform
Data Pipelines
Databricks

Requirements

Data Engineer (Spark / Databricks / Snowflake) Details 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. REQUIREMENTS: Minimum of 3 years of professional experience in: - Apache Spark (Scala or PySpark) - Databricks - SQL - Snowflake - Experience with Data Lake / Lakehouse architectures - Kafka (data streaming) - Airflow (pipeline orchestration) - Terraform (infrastructure as code) - Experience in the fashion/textile sector (highly valued) With our hybrid model, Flexology allows you to work where your talent flows best: from any of our 24 offices across Spain, from home, or combining both. The Plexus Tech work ecosystem fosters a collaborative environment across the company. Work with top-tier professionals Access to continuous learning and training Career growth opportunities Flexible compensation (health insurance, meal vouchers, childcare, transport) Spark, Scala, PySpark, SQL

Apply for this position