Google Cloud Data Developer @ Antal

• Experience in creating Data Engineering solutions in the Google Cloud Platform environment.
• Very good knowledge of Python and SQL.
• Practical knowledge of BigQuery, Cloud Storage (Buckets), and Cloud Composer (Apache Airflow).
• Experience in designing and building data pipelines.
• Experience in data integration and data transformation processes.
• Knowledge of Data Lake and Data Warehouse architecture.
• Experience in data modeling using Star Schema or Snowflake Schema.
• Experience working with CI/CD processes.
• Ability to create modular, reusable, and testable solutions.
• Knowledge of good practices related to the quality and reliability of data processing processes.
• Communicative knowledge of the English language.

Nice to have:

• Experience with PySpark.

Location: Kraków

Work mode: hybrid

We are looking for a Google Cloud Data Developer who will be responsible for the design, development, and maintenance of modern data processing solutions in the Google Cloud Platform environment. The person in this position will cooperate with Data Architects, Business Analysts, and project teams in building scalable data pipelines and implementing solutions supporting business processes.

We offer:

• Work in an international environment on projects based on modern cloud technologies.
• Hybrid work mode in Krakow.
• Benefits package (including private medical care, Multisport card).

,[Designing, building, and maintaining data pipelines in the Google Cloud Platform environment., Integrating data from provided GCP data resources and performing data transformation processes according to business requirements., Designing data structures and data flow architecture supporting business needs., Creating solutions using Python, SQL, BigQuery, Cloud Storage, and Cloud Composer (Apache Airflow)., Orchestrating data processing processes and deploying them within CI/CD pipelines., Building and developing solutions based on Data Lake and Data Warehouse., Creating high-quality solutions in accordance with the principles of auditability, rerunability, modularity, reusability, and unit testing., Participating in technical reviews and ensuring the quality of delivered solutions.] Requirements: Data engineering, Google cloud platform, Python, SQL, BigQuery, Cloud Storage, Buckets, Cloud Composer, Apache Airflow, Data pipelines, Data Lake, Data warehouse, Star Schema, Snowflake Schema, CI/CD, PySpark