Databricks Data Engineer

Comunidad de Madrid
Madrid, Spain
2 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
6 years minimum
Compensation
€104,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Databases Data Transformation Python (Programming Language) Performance Tuning Standard Sql Data Ingestion Pyspark Data Pipelines Databricks

Job description

  • Design and develop data pipelines from source systems to Gold layer datasets
  • Implement data ingestion, transformation, and optimization using Databricks
  • Build scalable PySpark-based data processing pipelines
  • Ensure data quality, performance optimization, and maintainability

Requirements

  • Strong hands-on experience in Databricks
  • Advanced PySpark development
  • Experience building end-to-end data pipelines
  • Expertise in data ingestion from multiple sources (APIs, databases, files, etc.)
  • Strong SQL and data transformation skills, Client is specifically looking for strong hands-on engineers who can write PySpark/Python code and implement pipelines independently.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

8:27 min

Building generic custom operators for Databricks APIs

Alan Mazankiewicz · LIVE

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