Data Engineer

hace 3 semanas

Santiago, Metropolitana, Chile Blue Orange Digital A tiempo completo
Company Overview

Blue Orange Digital is a pioneering data transformation and predictive analytics development firm with a strong presence in NYC and Washington, DC. Our team of passionate technologists and data analysts applies modern data analytics techniques, visualizations, and AI/ML to help companies make sense of their business challenges.

Position Overview

We are seeking a highly skilled Data Engineer to join our growing engineering team. As a Data Engineer, you will play a key role in building enterprise data platforms and data systems for our clients. The ideal candidate will have experience with a diverse set of modern data technologies across multiple clouds and deployment scenarios.

Responsibilities
  • Design and build high-performance data pipelines using Databricks, Spark, Python, and other data orchestration and ETL tools.
  • Collaborate with data teams to design, build, and deploy data platforms in the cloud (Azure, AWS, GCP) and automate their operation.
  • Work with Azure DevOps, Azure Pipelines, Terraform, CloudFormation, and other Automation and infrastructure tools to build robust systems.
  • Apply software development principles and best practices, including continuous integration, continuous delivery/deployment, and managing infrastructure such as code and automated testing across multiple software applications.
  • Support heterogeneous technology environments, including both Windows and Linux systems.
  • Develop reusable, automated processes, and custom tools.
Requirements
  • BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
  • Excellent verbal and written English communication.
  • At least 3 years of experience building and supporting data platforms; exposure to data technologies like Databricks, Azure Data Factory, Airflow MS Fabric.
  • Advanced level Python, SQL, and Bash scripting.
  • Experience designing and building robust CI/CD pipelines.
  • Comfortable with Docker, configuration management, and monitoring tools.
  • Knowledge of best practices related to security, performance, and disaster recovery.
  • Experience working in cloud environments, at a minimum, experience in Azure or AWS.
  • Enjoys collaborating with other engineers on architecture and sharing designs with the team.
Preferred Qualifications
  • Hold certifications for Azure Fundamentals, Azure Data Engineer, Databricks, Snowflake.

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