Description:

The Data Engineer - Spark Developer will be responsible for designing, developing, testing, deploying, maintaining, and improving data pipelines.
Coding tasks will involve using Apache Spark on Azure Databricks.
Designing and developing big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services will be part of the role.

Requirements:

Bachelor's degree in Computer Science or Software Engineering is required.
Strong analytical skills, team-oriented, quality-oriented, keen to learn and excel.
Thorough knowledge of Apache Spark is a must.
Previous experience as a Data Engineer is necessary.
Advanced knowledge of Python or Scala is essential.
Experience with Spark query tuning and performance optimization is required.
Familiarity with cloud platforms such as Azure, AWS, or GCP is necessary.
Fluency in verbal and written English is a must.

Competitive full-time salary offered.
Private Health Coverage provided on the Company’s group program.
Flexible Working Hours available.
Top-of-the-Line Tools provided for work.
Professional Development opportunities including language courses, specialized training, and continuous learning.
Career Growth prospects working with innovative specialists in the industry.
Dynamic Work Environment offering challenging goals, autonomy, and mentoring for personal and company growth.