Senior Data Engineer

Responsibilities:

• A very strong knowledge of Data modeling on Data/Big Data tools and the datalake organization
• Design and maintain the ETL process to bring data in different sources into the data platform.
• Achieve data quality, accuracy, and consistency in all data systems.
• Prioritise the efficiency, scalability, and cost of data processing and storage solutions.
• Work with data scientists, analysts, and business stakeholders to define data needs and provide an ability to automate delivery in a timely fashion.
• Work on dashboards, reports and data visualization tools to help everyone at the company make data driven decisions.
• Data security best practices to keep sensitive data safe.
• Comply with relevant data protection regulations and data privacy policies Automation and Monitoring
• Facilitate data workflows and processes that are automated to increase efficiency and minimise manual effort.

Key Skills:

• Machine learning.
• ETL.
• Data visualization.
• Data warehouse.
• Database management.
• Big data.
• Python.
• SQL.
• Big Data Engineer.