Data Engineer

hace 4 semanas


Buenos Aires, Argentina Gm2dev A tiempo completo

Be among the first 25 applicants Responsibilities Demonstrate sound engineering principles and a good understanding of modern CI/CD toolsets. Design and build data extraction, loading and transformation pipelines and data products across on-prem and cloud platforms. Perform application impact, requirements reviews and develop work estimates. Develop test strategies and site reliability engineering measures for data products & solutions. Lead resolution of critical operations issues including post-implementation reviews. Perform technical data stewardship tasks including metadata management, security and privacy by design. Be action-oriented, ensuring accountability, driving results, and being collaborative and communicative. Research, construct, develop, and test complex ETL pipelines. Apply automation and monitoring tools using a test-driven approach and mindset. Develop and maintain scalable data infrastructure that provides an outstanding experience for internal stakeholders and enables consistent value extraction from data; innovate data ingestion and processing methods to support strategic priorities and facilitate decision‑making throughout the organization. Build and scale data infrastructure that powers batch and real‑time data processing of thousands of records daily. Interface with data scientists, analysts, product managers and all data stakeholders to understand their needs and promote best practices. Architect data pipelines that provide fast, optimized, and robust end‑to‑end solutions. Drive and maintain a culture of quality, innovation and experimentation. Requirements 6+ years Data Engineering experience. 4 years data platform solution architecture and design. You are a collaborative, creative, open‑minded individual who possesses a natural curiosity and desire to experiment. Proficiency in: Programming language experience (java/python - including low code tools such as Informatica, Datastage or equivalent). SQL and database proficiency (min 3 years). Task automation – setting up DAGs in Control‑M, Apache Airflow, Prefect, etc. Unix scripting. Quality Assurance & Site Reliability Engineering. Infrastructure as code (e.g. Terraform, Pulumi, Puppet, Ansible). Data Modeling. Working Knowledge of ML Ops. Seniority level Associate Employment type Full‑time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at GM2 by 2x Get notified about new Data Engineer jobs in Saavedra, Buenos Aires Province, Argentina . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, with the help of AI. #J-18808-Ljbffr



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