{"id":34242,"url":"https://alion.io/job/razer-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3457,"name":"Razer","domain":"razer.com","url":"https://alion.io/company/razer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.949,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":114000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dask","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2025-04-17T00:00:00Z","employer_posted_date":"2025-04-17","last_verified_at":"2026-10-17T04:19:45Z","board_verified":true,"closed_at":null,"days_open":548,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":548},"description":"Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.\nJob Responsibilities :\nWe are looking for a Senior Data Engineer to lead the technical initiatives for AI Data Engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. This role will focus on architecting, optimizing, and managing data infrastructure to support AI model training, feature engineering, and real-time inference. You will collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.Lead AI Data Engineering initiativesby drivingthe design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.\n\nDesign and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.\n\nDevelop highperformance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications\n\nImplementbest practices for data quality, lineage, security, and compliance for AI applications\n\nDevelop automated data workflows, integrate with DevOps, MLOpsframeworks, and enable model reproducibility through efficient data management.\n\nContinuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solutionthat best fit the various AI initiatives\n\nWork closely with data scientists and AI/ML engineers to optimizefeature extraction, data labeling, and real-time inference pipelines\n\nPre-Requisites :\nHands on experience working with Vector/Graph;Neo4j\n\n3+ years of experience in data engineering,working on AI/ML-driven data architectures\n\nAbility to work in fast paced, high pressure, agile environment.\n\nAbility and willingness to learn any new technologies and apply them at work in order tostay ahead.\n\nStrong in programming languages such as Python,SQL.\n\nExperience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers, container orchestration platforms like Kubernetes\n\nExperience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT)\n\nExcellentwith various data processing techniques (both streaming and batch), managing and optimizingdata storage (Data Lake, Lake House and Database, SQL, and NoSQL) is essential.\n\nExperience in network infrastructure, real-time AI inferencingpipelines using event-driven architectures\n\nExcellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications\n\nExcellent written and verbal communication skills for coordinating across teams.\n\nExperience and Interest to keep up with the advancement in the Data Engineering Field\n\nEducation & Experience\nHas a Bachelor’s or Master’sdegree in computer science, Data Engineering, AI/ML, or a related fieldfrom an accredited institution\n\nTravel Requirements\nRole based in Singapore officeand may require up to 1 travel trip per year\n\nAre you 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