Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Responsibilities Design, implement, and maintain scalable data models using Star, Snowflake, and Data Vault methodologies. Build ELT/ETL pipelines and deploy robust data ingestion and transformations (primarily using GCP Data Fusion/Apache Airflow).
Optimize BigQuery:
write, refactor, and optimize complex SQL queries with a focus on cost reduction, performance, and concurrency.
Integrate diverse sources:
connect and wrangle data from RESTful/SOAP APIs and SFTP servers, handling JSON, CSV, and XML formats.
Drive DataOps culture:
collaborate within an Agile framework using Git and CI/CD pipelines to ensure automated testing and continuous delivery of data solutions. Qualifications SQL BigQuery GCP Data Fusion Data modeling Inmon Data Vault API Data
JSON XML CSV REST SOAP
Git CI/CD Angielski Data Major 3+ years of expert-level SQL & BigQuery hands-on experience (complex optimization, cost control, data integrity). 3+ years of experience in ELT/ETL pipeline development using GCP Data Fusion (highly preferred) or Apache Airflow. Strong expertise in Data Modeling & Architecture - deep understanding of Kimball/Inmon concepts and hands-on experience with Data Vault (major plus). API & Data Ingestion proficiency - proven track record of ingesting and parsing JSON, XML, and CSV data from
REST/SOAP
endpoints. Git & CI/CD fluency - practical knowledge of version control and continuous testing/delivery tools in cloud environments.
Architect & Model:
Design, implement, and maintain scalable data models using Star, Snowflake, and Data Vault methodologies. Start ASAP