Senior Data Engineer

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 Big Query: 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 Data Ops culture: collaborate within an Agile framework using Git and CI/CD pipelines to ensure automated testing and continuous delivery of data solutions.

• SQL
• Big Query
• 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 & Big Query 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