Iranian company dealing with Iranian and foreign customers
1393
Privately held
Company score
3.8
Travel, Hotel, Tourism & Tour
Alibaba Group is an Iranian technology-oriented and leading tourism holding company with 11 brands and more than 500 staff. The vision of the Alibaba Group is to generate wealth through tourism by pivoting technology and transforming organizational culture in Iran. The headquarter is located at Azadi Innovation Factory; the building has a highly modern and dynamic environment as well as a very distinguished architecture.
Growth and transformation are easy to explore Alibaba Group; such a context is inherited from confronting real challenges. Staff at Alibaba Group can access generous resources in order to explore their potentials. Alibaba Group is the land of opportunities.
We enjoy friendly interactions while making all the decisions collectively. A league of champions and professionals are accompanying Alibaba Group who are bold and ambitious enough to create anything they want. Alibaba Group stands for the future while the sky is the limit.
It is our duty to transform the quality of people’s lives: colleagues, clients, and fellow Iranian citizens.
Alibaba Group’s 11 brands are as follows:
• Alibaba
• Jabama
• Toosha
• Brandist
• Altrabo
• Simorgh
• Medgo
• Neshanet
• Sindbad
• Nabro
• Dobby
Through technological development, we in alibabagroup stand by creating wealth, society and transformation of working culture in Iran. We do not wait for the future, we create it ourselves.
We have friendly relationships with our awesome colleagues and we experience a mode of being and performance that empowers us.
This is the land of opportunities; in alibaba, we create a context for exploration, transformation, and growth of our colleagues.
Design, develop, and maintain robust data pipelines for collecting, processing, and storing large-scale data from multiple sources (rides, routes, users, transactions).
Build and optimize ETL/ELT workflows to ensure accurate, real-time data availability.
Collaborate with data scientists and backend engineers to design data models, schemas, and APIs for analytics and ML pipelines.
Implement streaming data architectures using Kafka, Spark, or similar tools.
Manage and optimize our data warehouse / lakehouse (e.g., BigQuery, Snowflake, Databricks, or Azure Synapse).
Ensure data quality, reliability, and observability through monitoring and validation systems.
Contribute to data governance, security, and compliance best practices.
Continuously improve performance, scalability, and cost efficiency of our data infrastructure.
Job Requirements
Gender
Men / Women
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