Remote Data Engineer, Spark Developer

Summary

Join our dynamic development teams as a Data Engineer - Spark Developer and work with cutting-edge technologies. You'll design, develop, test, deploy, maintain, and improve data pipelines, and have opportunities for professional growth and career advancement.

Requirements

• Bachelor's degree in Computer Science or Software Engineering
• Strong analytical skills, team - and quality-oriented, keen to learn and excel
• Thorough knowledge of Apache Spark
• Experience as a Data Engineer
• Advanced knowledge of Python or Scala
• Spark query tuning and performance optimization
• Experience with cloud platforms (Azure, AWS, or GCP)
• Fluency in verbal and written English

Responsibilities

• Design, develop, test, deploy, maintain, and improve data pipelines
• Coding using Apache Spark on Azure Databricks
• Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services

Preferred Qualifications

• Understand and analyze DAG operations
• Provide cost estimates for big data processing
• Write and review architecture documents

Benefits

• Competitive full-time salary
• Private Health Coverage on the Company’s group program
• Flexible Working Hours
• Top-of-the-Line Tools
• Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities
• Career Growth: Work with some of the most innovative and exciting specialists in the industry
• Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth