{"id":2178874,"url":"https://alion.io/job/avl-list-data-analyst-sw-developer","title":"Data Analyst & SW Developer","company":{"id":54752,"name":"AVL List","domain":"avl.com","url":"https://alion.io/company/avl-list","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Salé, 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SARL AU offers a job in Morocco (MA) as\nData Analyst & SW Developer\nYOUR RESPONSIBILITIES:\nPlatform Administration & Governance\nSupport the administration of Databricks environments (DEV, TEST, PROD).\nManage user access, roles, and permissions.\nSupport identity provisioning through Azure AD and AWS IAM.\nCollaborate with cloud teams on connectivity, storage access, and security-related topics.\nWorkspace Operations & Support\nManage access to notebooks, jobs, clusters, and SQL Warehouses.\nSupport cluster configuration and enforce usage policies.\nTroubleshoot platform-related issues and coordinate with support teams to ensure timely resolution.\nMaintain operational documentation and internal guidelines.\nData Governance & Security\nSupport Unity Catalog governance, including catalogs, schemas, and tables.\nManage access controls and data ownership.\nEnsure compliance with platform security standards and audit requirements.\nContribute to data governance and compliance initiatives.\nDevOps & Automation\nSupport CI/CD processes for Databricks deployments.\nParticipate in automation initiatives using Git-based workflows.\nContribute to the development and maintenance of standard templates and deployment practices.\nSupport application and platform lifecycle management across environments.\nCost & Usage Management\nMonitor platform usage and identify optimization opportunities.\nSupport cost tracking, reporting, and analysis activities.\nContribute to tagging strategies and governance practices for accurate cost allocation and attribution.\nYOUR PROFILE:\nEducation\nMaster’s Degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field.\nExperience\nMinimum of 1 year of experience as a Data Platform Engineer.\nGood understanding of CI/CD concepts and Git-based workflows.\nExperience working with cloud-based data platforms or in DevOps environments is a plus.\nTechnical Skills\nExperience with Databricks administration, including workspace management, access management, cluster administration, and Unity Catalog.\nKnowledge of Microsoft Azure cloud services (preferred) or other cloud platforms such as AWS or GCP.\nFamiliarity with Infrastructure as Code (IaC) concepts; experience with Terraform is a plus.\nBasic scripting skills in Python and/or Bash are an advantage.\nCertifications (Nice to Have)\nDatabricks certifications, such as:Databricks Certified Data Engineer\nDatabricks Platform Administrator\n\nCloud certifications, such as:Microsoft Azure Data Engineer Associate\nAWS Solutions Architect\nEquivalent cloud certifications\n\nLanguages & Soft Skills\nStrong communication skills in English, both written and spoken.\nGood analytical, problem-solving, and troubleshooting abilities.\nAbility to work effectively in a collaborative and international environment.\nProactive mindset with a structured and results-oriented approach to work.\nTechnical Profile\nDatabricks Expertise: Hands-on experience with Unity Catalog, Account Console, and Workspace Administration.\nIaC & Automation: Strong proficiency in Terraform; experience with Databricks CLI, Databricks Asset Bundles, and REST APIs.\n Cloud Infrastructure: Solid understanding of Azure (preferred) or AWS/GCP networking, security, and access management.\nCI/CD Tooling: Experience with GitHub Actions, Azure DevOps, GitLab CI, or similar CI/CD platforms.\nScripting & Automation: Proficiency in Python and Bash scripting for platform automation and operational efficiency.\nA role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.\n\nComplex projects that go beyond “just pipelines” - covering big data processing and large-scale ML/DL deployment.\n\nOpportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.\n\nA team where your input and technical decisions truly matter.\n\nA competitive package and benefits.\n\nJoin us and make a direct impact on shaping the future of Data, AI, and Mobility.\nIf you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!","description_format":"text","description_chars":4114,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Energy & Utilities","Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-09T14:28:42Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely 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