Data Engineer (IR-385)

<p><a href="http://www.intellectsoft.net/" target="_blank" rel="nofollow noreferrer noopener" class="external"></a>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.</p><p>You’ll work closely with Data Architects, Business Analyst, DataOps Engineers and DevOps Engineers to design and implement scalable data solutions.</p><p><strong>Requirements</strong></p><ul> <li>5+ years of experience in data engineering or backend data development.</li> <li>Strong knowledge of data pipeline design, integration frameworks, and ETL tools.</li> <li>Experience working with cloud or hybrid data architectures.</li> <li>Proficiency in SQL and at least one programming language (e.g., Python, Scala).</li> <li>Hands-on experience with distributed data processing (e.g., Spark, Flink) is a plus.</li> <li>Familiarity with data lake, data warehouse, or lakehouse architectures.</li> <li>Experience with real-time data streaming and ingestion frameworks is a strong advantage.</li> <li>Understanding of data security, privacy, and compliance best practices.</li> <li>Experience working in Agile/Scrum environments.</li> </ul><p></p><p><strong>Nice to have skills</strong></p><ul> <li>Experience with modern open-source tools (e.g., Airflow, dbt, Delta Lake, Apache Kafka).</li> <li>Exposure to machine learning pipelines or working alongside ML teams.</li> <li>Familiarity with BI tools and data visualization concepts.</li> <li>Experience working in regulated industries (e.g., gaming, finance, hospitality).</li> </ul><p></p><p><strong>Responsibilities:</strong></p><ul> <li>Design, build, and maintain scalable and reliable data pipelines for ingesting data from various sources (internal systems, APIs, external platforms).</li> <li>Work with structured, semi-structured, and unstructured data, ensuring data quality, consistency, and integrity.</li> <li>Develop and maintain ETL/ELT processes to support real-time and batch analytics.</li> <li>Collaborate with Data Architects to design optimal data models and storage structures for analytics workloads.</li> <li>Implement data validation, deduplication, and transformation logic.</li> <li>Contribute to the definition of data governance, security, and access policies.</li> <li>Participate in platform scaling and performance optimization initiatives.</li> <li>Work closely with business and analytics teams to understand data needs and translate them into technical solutions.</li> </ul><p><strong>Benefits</strong></p><p></p><ul> <li>35 absence days per year for work-life balance</li> <li>Udemy courses of your choice</li> <li>English courses with native-speaker</li> <li>Regular soft-skills trainings</li> <li>Excellence Сenters meetups</li> <li>Online/offline team-buildings</li> <li>Business trips</li> </ul>