JOB RESPONSIBILITIES :
Support the development and maintenance of data pipelines using Azure Data Factory, Databricks (PySpark), and SQL Server.
Assist in data ingestion from multiple structured and semi-structured sources across different countries.
Collaborate with senior data engineers to ensure data quality, reliability, and governance.
Help troubleshoot data pipeline issues and contribute to performance optimization.
Participate in daily Agile rituals such as stand-ups and sprint reviews.
Contribute to technical documentation and best practices
JOB REQUIREMENT:
Quick learner with a strong can-do attitude.
Good command of English (verbal and written).
Familiarity with SQL and at least one programming language (Python preferred).
Basic understanding of data pipelines, ETL, or cloud platforms (Azure preferred).
Strong problem-solving mindset and willingness to work in a collaborative environment.
Nice to have:
Exposure to Azure, Databricks, or Big Data tools.
Experience working on academic or personal data engineering projects.
Understanding of Agile development methodology.