Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in the field we are committed to delivering real financial value to our extensive network of clients.
What you will do:
- Design & develop our data pipeline infrastructure using our cloud infrastructure based on Azure from conception to deployment.
- Drive the development and enhancement of our Data Lakehouse while ensuring seamless integration with our data warehouse.
- Define the companys data engineering roadmap and make sure its implemented using cutting-edge technologies
- Collaborate with various stakeholders across the company such as data scientists analysts engineers and product managers
Requirements:
- 1 year of experience working as a hands-on Data Engineer
- Proficiency with Python and SQL
- Experience with cloud environments (Azure preferred) and big data technologies
- Experience with ETL pipeline design implementation and maintenance
- Experience working with relational and non-relational databases and data modeling
- Experience designing deploying and maintaining large-scale data infrastructure.
- Fast and self-learner with the ability to work independently
- Excellent communication skills in English
- . in Computer Science Engineering or equivalent field
- Databricks and PySpark Big advantage
Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in t...
Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in the field we are committed to delivering real financial value to our extensive network of clients.
What you will do:
- Design & develop our data pipeline infrastructure using our cloud infrastructure based on Azure from conception to deployment.
- Drive the development and enhancement of our Data Lakehouse while ensuring seamless integration with our data warehouse.
- Define the companys data engineering roadmap and make sure its implemented using cutting-edge technologies
- Collaborate with various stakeholders across the company such as data scientists analysts engineers and product managers
Requirements:
- 1 year of experience working as a hands-on Data Engineer
- Proficiency with Python and SQL
- Experience with cloud environments (Azure preferred) and big data technologies
- Experience with ETL pipeline design implementation and maintenance
- Experience working with relational and non-relational databases and data modeling
- Experience designing deploying and maintaining large-scale data infrastructure.
- Fast and self-learner with the ability to work independently
- Excellent communication skills in English
- . in Computer Science Engineering or equivalent field
- Databricks and PySpark Big advantage
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