Responsibilities

📍Architect and implement a flexible, scalable data warehouse aligned with company specifications and business requirements, accelerating delivery and reducing redundant development. 📍Design, develop, test, deploy and monitor data models and ETL jobs; rapidly troubleshoot complex issues and optimize calculation logic and pipeline performance. 📍Lead data governance initiatives by building and maintaining metadata management and data quality monitoring systems. 📍Foster technical team growth through mentorship, knowledge sharing and continuous improvement of collective skills.

Requirements

📍5+ years of hands-on experience designing and developing data lakes and data warehouse solutions. 📍Deep expertise in data warehouse modeling and governance, including dimensional modeling, information factory (data vault) methodologies and “one data” principles. 📍Proficiency in at least one of Java, Scala or Python, plus strong Hive & Spark SQL programming skills. 📍Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid). 📍Proven track record in building high-throughput batch pipelines on Big Data platforms.

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