{"id":1597324,"url":"https://alion.io/job/globant-entry-level-data-engineer-br-sao-paulo","title":"Entry-Level Data Engineer - BR - Sao Paulo","company":{"id":61174,"name":"Globant","domain":"globant.com","url":"https://alion.io/company/globant","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"C","score":64,"open_postings":75,"ghost_share":0.52,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"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":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2025-12-12T19:42:55Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T20:04:43Z","board_verified":true,"closed_at":null,"days_open":307,"trust":{"level":"ghost","repost_count":1,"flags":["stale","company_stale"],"days_open":306},"description":"At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.\nWe are looking for a Data Engineer Mid Level who brings a strong engineering background, solid programming principles, and expertise in data ecosystems to build scalable, high-performance data solutions.\nWhat will help you succeed:\nPower BI & Data Modeling: Solid hands-on experience designing, modeling, and delivering advanced analytics dashboards and reporting solutions.\n\nProgramming & OOP Fundamentals: Strong skills in Object-Oriented Programming (Python, C#, or Java) for building scalable data pipelines, automation, and backend routines.\n\nMicrosoft & Azure Data Ecosystem: Practical experience working with Azure Data Stack (such as Azure Data Factory, Databricks, Synapse, or Azure SQL) and integrating Azure services with Power BI.\n\nData Engineering & Processes: Solid understanding of ETL/ELT pipeline design, data architecture patterns, data orchestration, and process optimization.\n\nData Quality & Governance: Experience implementing data quality metrics, tracking data lineage, and ensuring data standardization and governance across pipelines.\n\nState Management & Architecture: Familiarity with state management in data processing workflows and designing robust, end-to-end data architectures.\n\nBusiness Acumen (Commercial Excellence): Ability to translate business rules and metrics (especially in commercial and sales environments) into efficient data models.\n\nLeadership & Communication: Strong ownership, autonomy to lead technical discussions with stakeholders, and capability to drive initiatives beyond basic task execution.\n\nLocation: This position can be filled in São Paulo (#LI-Hybrid)\nCreate with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world. \nAt Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. 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