Our next Data Engineer holds a bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, Statistics, or any other related field or equivalent experience, and has over 3 years experience.
The candidate must have experience and a high understanding of SQL, has previously worked with ETL tools, demonstrates a strong understanding of dimensional modelling as well as other data warehousing techniques, has experience in data warehouse development and architecture and hands-on physical and logical database designing, and has a deep passion for data analytics technologies as well as analytical and dimensional modelling.

• Provide day-to-day support of the data warehouse and troubleshoots existing procedures and processes.

• Creates and supports the ETL in order to facilitate the accommodation of data into the warehouse using Airflow, Python, and other technologies.

• Integration of various sources data, integration data warehouse with big data solutions/platform.

• Participation in the architectural design, innovation and development of new analytics processes.

• Work closely with other departments and teams across the business in coming up with simple, functional, and efficient solutions that balance data needs across the business.

• Plays an analytical role in quickly and thoroughly analysing business requirements for reporting and analysis.