Data Engineering Specialist
4 days ago
The Revenue Management Department at Kommunikationsforum is looking for a skilled data engineer to join our team.
We are seeking a talented individual with at least 3 years of experience in data engineering to contribute to building industry-defining revenue management tools and help us stay at the forefront of the industry.
You will be working with data and its underlying infrastructure to solve business problems, add value to our solutions, and improve data processes. This includes building and maintaining robust data pipeline architecture that cleans, transforms, and aggregates data from various data sources and API integrations using SQL and AWS technologies.
Key Responsibilities- Design, build, and maintain data-heavy engines that increase the operational efficiency of business users by enabling them to easily manage capacities and prices on our vessels.
- Collaborate with cross-department stakeholders to build data products and improve our global data architecture.
Additional responsibilities include working closely with data scientists to create data tools and provide unique insights into our data, identifying, designing, and implementing opportunities for enhancing data quality and reliability in our data acquisition and delivery processes, and enhancing and optimizing DataOps procedures.
Requirements- A strong DevOps mindset (CI/CD automation, code containerization and orchestration, platform governance)
- Proficiency in writing clean and readable Python code, following best practices and coding conventions
- Ability to perform complex operations and process large datasets in SQL.
Nice to have: Experience with developing and maintaining Apache Airflow, CI/CD automation in Azure Pipelines or equivalent, Unix Bash knowledge, Cloud experience (preferably AWS), Docker and Kubernetes experience, event-driven architecture (Kafka) and ETL processes, data build tool (dbt), and experience with API development (Flask, FastAPI etc.)
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