{"id":3988990,"url":"https://alion.io/job/cit-senior-data-developer-brazil-9","title":"Senior Data Developer, Brazil","company":{"id":957,"name":"CI&T","domain":"ciandt.com","url":"https://alion.io/company/ciandt","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":94,"open_postings":19,"ghost_share":0,"stale_share":0.368,"repost_share":0.105,"time_to_fill_p50_days":15,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Veeva","optional":false}],"status":"live","first_seen_at":"2026-11-09T19:40:18Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:41:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Project for a global pharmaceutical company: evolve a continuing education learning pathway library into an engagement platform for healthcare professionals outside field coverage - personalized, orchestrated in real time, and with professional recognition. Personalization depends on reliable data flowing between CRM (Veeva preferred), Data Lake, and Adobe Experience Platform, and on indicators showing whether the professional is returning. 2-year engagement, start planned for November 2026.\nPosition Mission\nBuild and operate the pipelines that feed and drain the data platform: from CRM and Data Lake to AEP and back, with measured quality, LGPD applied, and engagement indicators calculated reproducibly.\nHow the Role is Evaluated\nPipelines in production with monitoring, agreed update SLA and error rate.\nData quality rules defined and automatically verified (completeness, uniqueness, identity consistency).\nActivation indicators, 7-day return, and active weeks calculated and reconciled with CJA.\nNo personal data outside legal basis: minimization, pseudonymization, and retention implemented by design.\nResponsibilities\nDesign and implement ETL/ELT pipelines between CRM (Veeva preferred), Data Lake, and AEP (batch and streaming ingestion; profile, segment, and event export).\nModel the platform's analytical tables in the Data Lake (Databricks) and calculate engagement and business indicators.\nImplement data quality: testing, alerting, reconciliation across sources, identity deduplication handling.\nApply LGPD to data: classification, pseudonymization, retention and deletion policies, audit trail, fulfilling data subject requests.\nSupport the architect in XDM modeling and identity strategy from the source data perspective.\nDocument pipelines, data dictionary, and lineage; maintain operation runbooks.\nSustain pipelines in production and investigate data incidents.\nRequirements\nMandatory:\nSolid experience in data engineering, with production pipelines.\nAdvanced SQL, Python, and Databricks (Spark, Delta Lake, jobs, and workflows).\nCRM and Data Lake integration via APIs, connectors, and files; Veeva experience is a strong preference.\nData quality: automated testing, monitoring, reconciliation.\nMetric calculation and governance (definition, versioning, reconciliation with analytics tools).\nLGPD applied to personal data: minimization, pseudonymization, retention, data subject rights.\nNative Portuguese and Advanced English for technical documentation.\nDifferentials:\nAEP experience: ingestion (source connectors, batch and streaming APIs) and export (destinations, Data Landing Zone, Query Service).\nDatabricks or Adobe certifications.\nExperience in pharmaceutical or healthcare sector.\nOrchestration (Airflow, Databricks Workflows) and infrastructure as code.\nData modeling for personalization and recommendation.","description_format":"text","description_chars":2842,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Portuguese","level":"Proficiency (C2)","optional":false},{"language":"English","level":"Advanced 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