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Design and build backend microservices in Python/Java deployed on Google Cloud (GKE), with serverless Cloud Functions, Pub/Sub messaging, Apigee APIs, and Oracle SQL data logic, participating in Scrum ceremonies. Hybrid role in Santiago, Chile on a 3-month fixed-term contract.
Senior Java backend/data engineer to work on migrating a banking core system to the cloud. Day to day: designing Java backend APIs, building Apache Kafka producers/consumers, and developing real-time streaming data flows that sync information between the bank core and the new cloud platform.
Semi-senior data engineer building and maintaining data platform components on Google Cloud Platform: designing ETL/ELT pipelines, implementing Medallion Architecture layers (raw/bronze to curated/gold), and ensuring data quality, orchestration and performance for analytics consumption. Core stack: Python, SQL and GCP. Fully remote with flexible hours.
Semi-senior Data Engineer who designs, builds, and maintains batch and streaming data pipelines on Google Cloud Platform: ingesting data into BigQuery, orchestrating flows with Cloud Composer (Airflow), transforming with Dataflow/dbt, and ensuring data quality, governance, cost optimization, and CI/CD practices.
Semi-senior data engineer designing, building and optimizing batch and streaming data pipelines on Google Cloud Platform — BigQuery data models, Cloud Composer (Airflow) orchestration, and Dataflow/dbt transformations — while collaborating with analytics, BI and business teams. Based in Santiago, Chile.
Senior Java backend/data engineer building and evolving services that connect a bank's core system to a new cloud platform, moving and synchronizing data in real time. Day-to-day work centers on Java, Apache Kafka, APIs, and data streaming, plus integrating banking systems and modernizing toward the cloud.
Factor IT is hiring a senior back-end data engineer to design Java APIs and real-time Kafka streaming flows that connect a banking core system with a new cloud architecture, focusing on event-driven data integration and synchronization rather than batch processing.
Factor IT in Chile seeks a Data Scientist to explore datasets, build and validate machine learning models, and help deploy them to production. Daily work involves data preparation and modeling with Python or R (Pandas, NumPy, Scikit-Learn) on large data volumes in Google Cloud Platform (GCP).