Data Engineer @ Gett in Gett

Gett is a Ground Transportation Solution with the mission to organize all the best mobility providers in one global platform with great UX - optimizing the entire experience from booking and riding to invoicing and analytics, to save businesses time and moneyю We are looking for a talented Data Engineer to join us. 

As a Data Engineer at Gett, you will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data platforms, and data models, and providing business intelligence. You will be working in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders, to deliver the best solutions to support the business and provide operational excellence. 

If you are passionate about data, a team player, and proactive, we want to hear from you.

• Minimum of 3 years of experience in software development, data engineering, or business intelligence
• Proficiency in Python - A must.
• Advanced SQL skills - A must
• Strong background in data modeling, ETL development, and data warehousing - A must.
• Experience with big data technologies, particularly Airflow - A must
• General understanding of cloud environments like AWS, GCP, or Azure - A must
• Familiarity with tools such as Spark, Hive, Airbyte, Kafka, Clickhouse, Postgres, Great Expectations, Data Hub, or Iceberg is advantageous.
• Experience with Terraform, Kubernetes (K8S), or ArgoCD - is advantageous.
• A bachelor’s degree in Computer Science, Engineering, or a related field is advantageous but not mandatory

Gett is a Ground Transportation Solution with the mission to organize all the best mobility providers in one global platform with great UX - optimizing the entire experience from booking and riding to invoicing and analytics, to save businesses time and moneyю We are looking for a talented Data Engineer to join us. 

As a Data Engineer at Gett, you will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data platforms, and data models, and providing business intelligence. You will be working in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders, to deliver the best solutions to support the business and provide operational excellence. 

If you are passionate about data, a team player, and proactive, we want to hear from you.

,[Design, Develop & Deploy data pipelines and data models on various Data Lake / DWH layers , Ingest data from and export data to multiple third-party systems and platforms (e.g., Salesforce, Braze, SurveyMonkey). , Architect and implement data-related microservices and products , Ensure the implementation of best practices in data management, including data lineage, observability, and data contracts. , Maintain, support, and refactor legacy models and layers within the DWH ]
Requirements: Data modelling, ETL development, Data warehouses, Python, SQL, Data modeling, GCP, Azure, Kafka, PostgreSQL, K8s, Git, Airflow, Amazon EKS, Kubernetes, Spark, Hive, Terraform,ArgoCD, Degree
Tools: .
Additionally: Training budget, Flat structure, Remote work or co-working of choice, Private medical care (LuxMed Expanded package), Using the latest tools and technologies, Employee recommendation program, educational opportunities, Flexible working hours and remote work possibility, powerful laptops, Annual performance review, work in a great team of experts.