Role Description As a Senior Data Engineer, you will collaborate with a multi-disciplinary team of solution architects and data scientists on a wide range of business problems. You will be an integral part of the IT Analytics Delivery group, responsible for building out capabilities across business strategy, analytics, and Cloud. The role's primary focus will be on architecting and maintaining our data pipeline and ETL processes, building integrations, and developing complex data models to foster data-driven decision making across all functional areas. - Independently execute on all phases of the Data Engineer project lifecycle. - Gain subject matter expertise in various business domains. - Apply technical expertise to solve complex business problems. - Effectively communicate with business stakeholders for successful project execution. - Mentor team members. - Support our Analytics partners embedded in the business, providing data to analysts across the company. - Be an equal member of a cohesive and selfless team. - Take complete ownership of your work with the goal of exceeding customer expectations. - Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance. - Consult on the design, development, and implementation of innovative solutions to complicated data issues which enhance traditional star-schema data structures. - Expertise in Data Engineering and implement multiple end-to-end DW projects in Big Data environment. - Support and debug issues in production environment and be part of production support, across several reporting toolsets. - Work in an agile team – plan, prioritize design, test, and coordinate end-to-end delivery of solutions. - Embrace the opportunity to expand your skillset both functionally and technically. - Design, create, and implement complex data models (including canonical, conceptual, logical, and physical models). - Implement new design methodologies. - Build, scale, and maintain our data infrastructure and data products. - Implement physical database models and tune SQL. - Use ANSI SQL and/or PL/SQL to perform data analysis. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and “big data” technologies. - Flexibility to work as a member of a matrix-based diverse and geographically distributed project teams. Qualifications - Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive experience in a related field. - 5+ years of experience in analytics, SQL, and/or ETL development. - Proficiency in data warehousing/business intelligence development/data modeling. - 5+ years’ experience building large scale data sources in Oracle or equivalent relational database. - 3+ years’ experience using API platforms such as MuleSoft / APIGee and ELT platform such as Matillion or Informatica. - Excellent SQL skills with PL/SQL development experience. - Hands-on development experience using an ETL tool; Oracle Data Integrator preferred. - Hands-on development experience with Oracle Cloud reporting and data replication; Business Intelligence Cloud Connector Console, BI Publisher, and OTBI preferred. - Strong analytical and problem-solving capabilities. - Experience with BI reporting tools like Tableau, Power BI. - Programming skills: Java, Scala, Python. - Expertise with CI/CD pipeline and integration tools e.g., Jenkins, GIT. - Understanding of an analytics platform, its use-cases, and best practices. - Experience working with different types of data stores (RDMS, Flat Files, Columnar DBs, etc.) - Strong understanding of dimensional modeling, data lakes, and data vault. - Experience with Cloud-based environment, SaaS. - Experience with any of the cloud warehousing products e.g. Databricks, Snowflake, Redshift, etc. - Experience with MS Power Platform. - Experience working with cloud environments Azure. - Experience in designing Data Architecture and pipelines. - Proficient in performance tuning and debugging. - Experience required to work in a fast-paced environment with a focus on delivering customer satisfaction. - Travel - up to 10% of the time (domestic and international). - Must be authorized to work within the US. We will not be able to sponsor employment for this position. Benefits - Health and Wellbeing: - Health, Dental, and Vision Care - Onsite Health Centers - Employee Assistance Program - Wellness program - Financial Benefits: - Competitive pay - Profit Sharing - 401k Plan with Company Matching - Life and Disability Insurance - Tuition Reimbursement - Paid Time Off: - PTO and Sick Leave (starting at 20 days per year) - Holidays (10 per year) - Parental Leave - Military Leave - Bereavement - Additional Perks: - Nursing Mothers Benefits - Voluntary Legal - Pet Insurance - Employee Discount Program

• Préparer les installations en vérifiant les prérequis techniques internes et client • Installer les systèmes sur site et assurer leur mise en service, ainsi que la formation des utilisateurs • Réaliser la maintenance préventive et corrective conformément aux engagements contractuels • Diagnostiquer et résoudre les dysfonctionnements (sur site ou à distance) • Assurer le suivi client et maintenir une relation de qualité • Rédiger les rapports d’intervention et assurer le reporting dans les outils dédiés • Faire le lien entre le client et les équipes expertes pour les sujets complexes • Contribuer aux devis et chiffrages techniques sur la base installée

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We're seeking an experienced Senior Node.js Engineer in Argentina (only Buenos Aires/CABA or AMBA) to design and build scalable microservices on AWS. You'll be working in modern AWS environments, developing microservices and REST APIs using Node.js and TypeScript, while leveraging AI tools to enhance productivity and solution quality. This is you - 6+ years of solid experience with Node.js & TypeScript. - 3+ years of hands-on experience with Lambda, S3, DynamoDB, RDS, and infrastructure-as-code frameworks (Serverless/SAM). - Proficiency in SQL and NoSQL databases. - Ability to independently identify bottlenecks and propose improvements. - Strong ability to articulate technical solutions with clear business impact. - Familiarity with CI/CD pipelines, containerization technologies, and observability tools. Nice-to-have skills: - Experience working with AI tools and their practical application in software development. This is your role - Design and build robust microservices in Node.js/TypeScript, upholding high standards of technical excellence. - Implement and optimize solutions using the AWS stack (Lambda, API Gateway, DynamoDB, EKS), focusing on performance, availability, and scalability. - Participate in architectural design and technical decision-making that impacts system scalability. - Act as a technical reference for the team, promoting best practices (Clean Code, Testing) and supporting developer growth. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Our partner is building compliance infrastructure for autonomy, transforming unstructured operational data into deterministic, auditable, and replayable outputs. The system operates as a system of record under strict constraints, ensuring consistent and defensible outcomes across varying inputs, customers, and regulatory environments. The Senior Product Engineer is responsible for execution of the core system, including data ingestion, normalization, reporting, and integrations. This role focuses on designing and maintaining a deterministic architecture that ensures correctness, traceability, and resilience at scale. The position is accountable for system behavior under real-world conditions, including failure scenarios, and for maintaining data lineage and architectural integrity as the system evolves. Responsibilities - Own implementation and evolution of core system workflows across data ingestion, normalization, and artifact generation - Design and build data processing and message handling systems to ingest, transform, and validate asynchronous inputs at scale - Define and enforce architectural patterns to prevent hidden state, schema drift, and customer-specific logic in the core system - Maintain end-to-end data lineage from source inputs through output generation - Build and maintain ingestion and normalization pipelines for multi-source, inconsistent inputs - Collaborate with leadership to prioritize and sequence development work - Participate in technical discussions with partners and customers, representing system capabilities and constraints - Identify reusable integration and system patterns to support scalability and repeatability - Design systems that behave predictably under partial data, malformed inputs, and scaling conditions