Aktualne oferty pracy związane z Data Engineer Position - Warszawa, Mazovia - Dentsu Aegis Network Ltd.
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Data Engineer Position
1 tydzień temu
The Dentsu Aegis Network Ltd. is a global marketing communication network that responds to the needs of the digital age with its offer. It includes the following brands: Carat, Isobar, iProspect, Red8 Advertisement, Amplifi, DDS, dentsu, and dentsu X. The dentsu group operates in 110 countries around the world, employing over 45,000 experts. In Poland, it has been operating in its current form since 2005 and employs about 700 people serving over 200 clients.
Dentsu Aegis Network Ltd. strives to be the network of choice worldwide for customers looking for expertise and the greatest capacity in brand, media, and digital communications services.
We are seeking a passionate and skilled Data Engineer to join our data engineering team. The primary responsibilities of this role will focus on ETL processes, cloud administration, and data warehouse maintenance within our Google Cloud ecosystem.
Key Responsibilities:
- Architect, build, and sustain scalable ETL workflows utilizing Apache Airflow within the Google Cloud Composer environment.
- Write high-quality, readable, and maintainable code, following best practices and PEP8 guidelines.
- Create, modify, and maintain DAGs.
- Develop custom hooks and connectors for interacting with various services, such as APIs, databases, and FTP servers.
- Work with CI/CD pipelines and containerization technologies like Docker.
- Contribute to the upkeep and advancement of our BigQuery data warehouse infrastructure.
- Handle data modeling, schema creation, and maintenance of datasets.
- Optimize and operationalize queries.
- Oversee, administer, and fine-tune Google Cloud Platform resources.
- Provision assets and maintain current architecture.
- Manage access control (IAM).
- Assist in the creation and enhancement of internal applications aimed at automating key business processes.
- Assist with the development of FastAPI-based APIs.
- Implement and maintain Cloud Run and Cloud Functions backend microservices.
- Assist in deploying ML solutions in collaboration with the Data Science Team.
- Provide and optimize large datasets tailored for Data Science initiatives.
- Optimize data transformations by fine-tuning SQL queries and data pipelines to enhance performance and reduce computational costs.
- Manage the deployment of ML models into production environments.
