{"id":4339285,"url":"https://alion.io/job/valsoft-corporation-data-platform-engineer-anju","title":"Data Platform Engineer - ANJU","company":{"id":8417,"name":"Valsoft Corporation","domain":"valsoftcorp.com","url":"https://alion.io/company/valsoft-corporation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":37,"ghost_share":0,"stale_share":0.784,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beirut, Lebanon"],"countries":["LB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"kubectl","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MariaDB","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-15T17:16:16Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T17:16:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Aspire Software is looking for a Data Platform Engineer to join our team in Lebanon.\nHere is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.\nAbout the job:\nData Platform Engineer will own the databases and data pipelines behind a data product with regular releases. The role combines database administration, scripting, integration and AI, in an agile Kanban team. You will fix data accuracy within life sciences and clinical trials raised by support and help deliver new product releases. Above all, you will improve the processes to deliver faster data updates through AI and Automation.\nCore Responsibilities\nProcess Improvement\nFind bottlenecks, manual steps and recurring errors in the release process.\nPropose improvements, deliver them and measure the result.\nAutomate repetitive steps with scripts (Python, SQL, Bash).\nAutomate data health checks and functional tests.\nRun improvement projects and keep runbooks up to date.\nDatabase Administration\nAdminister, tune and monitor relational databases (MariaDB / MySQL, PostgreSQL, SQL Server or Oracle).\nManage schemas, indexes, backups to S3, replication and user access.\nRun upgrades and migrations with minimal downtime.\nWeekly Data Release\nParse, map and load collected data from trial registries, publications, conferences and hospital directories.\nRun Java batch jobs, delta updates and production installs.\nRun queries, match and de-duplicate person and organisation records.\nRun mappers, publication pipelines and customer exports (API, S3, Azure).\nHand each validated release to IT for provisioning, and support data checks after go-live.\nSupport and Product Releases\nInvestigate and fix data issues raised by customers and support.\nFind the root cause so issues do not come back.\nHelp plan and deliver new product releases and features.\nPrepare and validate the data changes for each new version.\nPlatform Operations\nMonitor data jobs and troubleshoot failures from logs and dashboards.\nCheck job pods and logs on Kubernetes.\nAI and Automation\nUse AI tools for data matching, classification, quality checks and coding.\nUse AI responsibly with personal and clinical data.\nAgile Delivery (Kanban)\nWork from a Kanban board within WIP limits.\nJoin stand-ups and retrospectives, and suggest ways to improve flow.\nRequirements\n3-5 years as a database administrator, database engineer or data engineer. Degree in Computer Science, Computer Engineering, Information Systems or similar.\nExperience working in an agile Kanban team, using Jira or similar.\nClear written English.\nWorks well to deadlines.\nStrong Knowledge Of\nSQL and at least two relational databases (MariaDB / MySQL plus PostgreSQL, SQL Server or Oracle).\nQuery tuning: execution plans, indexes and locking.\nScripting in Python, SQL and Bash, plus Java; code kept in GitLab or Bitbucket.\nAI and data science: Python, statistics, machine learning basics and prompt design.\nData analytics with SQL, pandas or Power BI.\nKubernetes on AWS: pods, deployments, services and kubectl.\nIntegration tools: Azure Functions, Azure Data Factory or similar.\nBackup, recovery and database security.\nPersonal Qualities\nFast learner, curious and eager to grow.\nPositive, can-do attitude.\nAlways looking for better ways of working.\nTeam player who communicates clearly.\nTakes ownership and follows problems through to the fix.\nStrong attention to detail.\nStays calm under deadlines.\nSupports and guides junior colleagues.\nPreferred\nAWS: S3, EKS, Cognito and IAM.\nAzure: Azure and Databricks for analytics exports.\nAI and data science training: a diploma or courses in AI, data science or data analytics.\nMonitoring: ELK stack, Prometheus and Grafana.\nDevOps: Jenkins, Nexus, Helm and GitLab CI/CD for building and deploying data jobs.\nClinical terminologies: MeSH or similar medical vocabularies.\nAgile certification: Kanban or Scrum.","description_format":"text","description_chars":4185,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Investment Holding 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