Responsibilities:

●    Design, implement, and maintain data pipelines for efficient data ingestion, transformation, and storage.
●    Develop data models and database schemas to support analytical and reporting requirements.
●    Ensure data quality, governance, and compliance with security and privacy regulations.
●    Optimize data pipelines for performance and scalability.
●    Collaborate with stakeholders to understand data requirements and provide reliable data.
●    Troubleshoot and resolve issues in data pipelines promptly.
●    Stay updated with data engineering technologies and suggest improvements to the infrastructure.
●    Document data pipelines, processes, and procedures.

Requirements:

●    Bachelor's degree in Computer Science, Information Systems, or related field.
●    Proficiency in Python, Java, Scala, or SQL.
●    Strong knowledge of Apache Spark and Databricks.
●    Experience with ETL tools, relational and NoSQL databases.
●    Familiarity with cloud-based data storage and processing platforms.
●    Understanding of data governance, security, and compliance.
●    Analytical mindset with problem-solving skills.
●    Excellent collaboration and communication abilities.
 

In order to apply, please email your latest and updated CV at:
[email protected]