{"id":1805158,"url":"https://alion.io/job/capgemini-data-engineer-ssr","title":"Data Engineer SSr","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":81,"open_postings":1680,"ghost_share":0,"stale_share":0.74,"repost_share":0.001,"time_to_fill_p50_days":26,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":662},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-09-07T06:43:28Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-09T02:06:25Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.\nJob Description\nJob Summary\nWe are seeking a skilled and motivated Data Engineer with expertise in Azure Data Factory (ADF) to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes using Azure services. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for analytics and reporting.\nResponsabilities\n Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory.\nReview team monitoring reports to identify issues and create corresponding User STpries / PBIs for resolution.\nMonitor the status of Databricks jobs and ADF pipelines.\nUnderstand the concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.\nWork with Azure Cloud Services, Azure Data Factory and Python / SPARK (we use Azure Databricks).\nQualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems, or related field.\n3+ years of experience in data engineering or related role.\nProficiency in Python.\nStrong understanding of ETL/ELT processes.\nExperience with Azure Cloud Services specially in Azure Data Factory.\nAbility to review monitoring reports and create PBIs for necessary fixes.\nFocus on system maintenance.\nPrefered qualifications\nAzure certifications (e.g., Azure Data Engineer Associate).\nExperience with Databricks, Power BI, or Azure DevOps.\nExperience working in Agile/Scrum environments.\n# LI-LB21\nJob Description - Grade Specific\nHas more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. 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