{"id":4160315,"url":"https://alion.io/job/horizon-computer-management-data-engineer","title":"Data Engineer","company":{"id":4538336,"name":"Horizon Computer Management","domain":"hcm-sg.com","url":"https://alion.io/company/horizon-computer-management","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9500,"max":12500,"currency":"SGD","period":"month","gross":true,"usd_annual":116772},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T00:00:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"🎯 Job SummaryWe are looking for an experienced Data Engineer with 7+ years of experience in designing, developing, and maintaining scalable data pipelines and data infrastructure. The candidate will be responsible for building ETL/ELT processes, managing large datasets, optimising data workflows, and supporting data analytics and business intelligence initiatives.\n🔧 Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and data integration solutions.\n\nBuild and manage ETL/ELT workflows for structured and unstructured data.\n\nDevelop data models and optimise data warehouse solutions.\n\nIntegrate data from multiple sources, including databases, APIs, and cloud platforms.\n\nImplement data processing solutions using batch and real-time streaming technologies.\n\nEnsure data quality, accuracy, consistency, and reliability.\n\nWork with data scientists, analysts, architects, and business stakeholders.\n\nDevelop and optimise SQL queries and database performance.\n\nImplement data governance, security, and access control practices.\n\nMonitor, troubleshoot, and resolve data pipeline failures and performance issues.\n\nWork with cloud-based data platforms and distributed processing frameworks.\n\nMaintain technical documentation and follow software development best practices.\n\n💻 Technical Skills & RequirementsStrong proficiency in SQL and Python.\n\nHands-on experience with ETL/ELT tools and data pipeline development.\n\nExperience with Apache Spark, PySpark, and Hadoop.\n\nKnowledge of Apache Airflow or similar workflow orchestration tools.\n\nExperience with data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.\n\nHands-on experience with AWS, Microsoft Azure, or Google Cloud Platform.\n\nKnowledge of relational and NoSQL databases.\n\nExperience with data integration, data modelling, and data transformation.\n\nFamiliarity with Kafka or other real-time data streaming technologies.\n\nExperience with Git, CI/CD, and automated deployment processes.\n\nUnderstanding of data governance, data security, and data quality frameworks.\n\n🎓 Education & ExperienceBachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.\n\nMinimum 7 years of relevant experience in Data Engineering.\n\nProven experience developing and managing enterprise-scale data pipelines.\n\nExperience working with cloud data platforms and big data technologies.\n\n🤝 Required SkillsStrong analytical and problem-solving abilities.\n\nExcellent SQL and programming skills.\n\nAbility to handle large and complex datasets.\n\nStrong communication and collaboration skills.\n\nAbility to work independently and manage multiple priorities.\n\n⭐ Preferred CertificationsAWS Certified Data Engineer.\n\nMicrosoft Certified: Azure Data Engineer Associate.\n\nGoogle Cloud Professional Data Engineer.\n\nDatabricks Data Engineer Certification.\n\nSkills\nSnowflake Cloud Data Warehouse, Data Warehousing Design, optimized SQL queries, Airflow, Apache Spark, Stream Processing, ETL Tools, AWS, Google Cloud Platform, Data Integration, Data Quality Assurance, Relational Databases, integrate Data sources, Data Science, Data Infrastructure, SQL Development","description_format":"text","description_chars":3177,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-12T11:22:51Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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