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Data Engineer at Mize
Tel-Aviv, Tel-Aviv District, Israel -
Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Python, SQL, Cloud Environments, Azure, Big Data Technologies, ETL Pipeline, Data Modeling, Relational Databases, Non-relational Databases, Data Infrastructure, Communication Skills, Self-learning, Databricks, PySpark

Industry

ソフトウェア開発

Description
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 company’s data engineering roadmap and make sure it’s implemented using cutting-edge technologies Collaborate with various stakeholders across the company such as data scientists, analysts, engineers, and product managers Requirements 3-4 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 B.Sc. in Computer Science, Engineering, or equivalent field Databricks and PySpark – Big advantage
Responsibilities
Design and develop data pipeline infrastructure using Azure cloud. Collaborate with stakeholders to enhance the Data Lakehouse and implement the data engineering roadmap.