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Data Engineer at Intellectsoft. Join our team in building a modern, high-impact Analytical Platform for one of the largest integrated resort and entertainment companies in Southeast Asia. This platform will serve as a unified environment for data collection, transformation, analytics, and AI-driven insights—powering decisions across marketing, operations, gaming, and more.. You’ll work closely with Data Architects, Business Analyst, DataOps Engineers and DevOps Engineers to design and implement scalable data solutions.. . 5+ years of experience in data engineering or backend data development.. . Strong knowledge of data pipeline design, integration frameworks, and ETL tools.. . Experience working with cloud or hybrid data architectures.. . Proficiency in SQL and at least one programming language (e.g., Python, Scala).. . Hands-on experience with distributed data processing (e.g., Spark, Flink) is a plus.. . Familiarity with data lake, data warehouse, or lakehouse architectures.. . Experience with real-time data streaming and ingestion frameworks is a strong advantage.. . Understanding of data security, privacy, and compliance best practices.. . Experience working in Agile/Scrum environments.. . Nice to have skills. . Experience with modern open-source tools (e.g., Airflow, dbt, Delta Lake, Apache Kafka).. . Exposure to machine learning pipelines or working alongside ML teams.. . Familiarity with BI tools and data visualization concepts.. . Experience working in regulated industries (e.g., gaming, finance, hospitality).. . Responsibilities:. . Design, build, and maintain scalable and reliable data pipelines for ingesting data from various sources (internal systems, APIs, external platforms).. . Work with structured, semi-structured, and unstructured data, ensuring data quality, consistency, and integrity.. . Develop and maintain ETL/ELT processes to support real-time and batch analytics.. . Collaborate with Data Architects to design optimal data models and storage structures for analytics workloads.. . Implement data validation, deduplication, and transformation logic.. . Contribute to the definition of data governance, security, and access policies.. . Participate in platform scaling and performance optimization initiatives.. . Work closely with business and analytics teams to understand data needs and translate them into technical solutions.. . Company Location: Ukraine.