• Support the development and maintenance of data pipelines and ETL processes, with a focus on learning and applying Databricks technologies.
• Assist in data ingestion, transformation, and validation tasks across structured and semi- structured sources.
• Participate in team code reviews, documentation, and knowledge-sharing sessions to build Databricks proficiency.
• Collaborate with senior engineers to implement scalable solutions and gradually take ownership of Databricks workflows.
• Contribute to improving data quality, observability, and operational efficiency.

Job Specifications:

• Solid foundation in SQL and Python/Java/Scala, with at least 3 years of experience in distributed data processing and cloud platforms.
• Eagerness to learn Databricks, Apache Spark, and modern data engineering practices.
• Familiarity with version control (e.g., Git) and basic understanding of cloud services (Azure, AWS, or GCP).
• Analytical mindset, attention to detail, and a collaborative attitude.
• Motivation to grow into a Databricks expert through hands-on experience and mentorship.
• Professional communications skills in English