5+ years of experience as a Big Data Engineer with a strong focus on Apache Spark and Databricks.
Proficiency in Scala for data processing and transformation.
Experience with version control systems, particularly Git and GitHub.
Strong knowledge of cloud computing platforms, with a preference for experience with Azure.
Hands-on experience with Azure Data Factory or similar data orchestration tools.
Familiarity with data modeling concepts and best practices.
Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
Excellent communication and collaboration skills to work effectively within a cross-functional team.
Certifications in relevant technologies (e.g., Azure Data Engineer, Databricks) are a plus.
If you are a seasoned Big Data Engineer with expertise in Spark, Scala, Azure, and a passion for solving complex data engineering challenges, we encourage you to apply. Join our team and play a crucial role in shaping our data infrastructure and analytics capabilities.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.