Data/Analytics Engineer

PROJECT INFORMATION:Remote work: 100%Project language: EnglishProject length: 6 months contracts + prolongations.Start: ASAP Assignment type: B2BSummaryThe project aims to build a centralized, cross-channel data platform that serves as a Single Source of Truth for analyzing and managing streaming, linear, and digital business models. The data warehouse will consolidate data related to content performance, reach, user behavior, and monetization across multiple platforms.Main Responsibilities:Design and further development of scalable data warehouse modelsImplementation of data transformations using dbt, including refactoring of existing modelsDevelopment of domain-specific data martsIntegration and harmonization of heterogeneous source systemsImplementation of data quality rules, tests, and documentation within dbtPerformance optimization of queries and data structuresTranslation of business requirements into maintainable technical data modelsConsulting on best practices for analytics engineering and data warehouse designContribution to modeling, naming, and governance standardsKey Requirements:Experience with Data Vault modelingProficiency in SQL and data warehousing conceptsHands-on experience with dbt (data build tool)Knowledge of Google Cloud Platform (GCP) and BigQueryExperience in Python for data processingFamiliarity with Apache Airflow for workflow orchestrationUnderstanding of CI/CD processes using GitLabNice to Have:Experience with Terraform for infrastructure as codeFamiliarity with collaboration tools such as JIRA and ConfluenceExperience in implementing data quality frameworksKnowledge of performance optimization techniques