Remote Senior Data Engineer - LATAM

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Description:

  • We are seeking an experienced Data Engineer to help build and maintain our data infrastructure.
  • The role involves working at the intersection of data science and software engineering to create scalable systems that transform raw data into valuable business insights.
  • Key responsibilities include designing, building, and optimizing data pipelines to extract, transform, and load data from multiple sources.
  • The Data Engineer will develop and maintain data warehouse solutions and ETL processes.
  • Ensuring data quality, reliability, and accessibility across the organization is a critical part of the job.
  • The role requires implementing data security measures and ensuring compliance with relevant regulations.
  • Monitoring and troubleshooting data systems to ensure optimal performance is also essential.
  • Collaboration is key, as the Data Engineer will work to implement machine learning models into production systems.

Requirements:

  • A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience is required.
  • Candidates must have 3+ years of experience in data engineering or related roles.
  • Strong SQL skills and experience with database design are necessary.
  • Proficiency in Python, Java, or similar programming languages is required.
  • Experience with big data technologies such as Hadoop, Spark, and Kafka is essential.
  • Knowledge of cloud platforms like AWS, Azure, or GCP and their data platforms (e.g., Azure Data Fabric, Redshift) is required.
  • Familiarity with data modeling, ETL tools, and data visualization is necessary.
  • Experience in building reports and data pipelines for PowerBI is required.

Benefits:

  • The position offers the opportunity to work remotely, providing flexibility in your work environment.
  • You will be part of a dynamic team that values collaboration and innovation in data engineering.
  • The role provides a chance to work with cutting-edge technologies and tools in the data space.
  • Opportunities for professional growth and development in a rapidly evolving field are available.
  • The company promotes a culture of continuous learning and improvement, supporting your career advancement.
Apply now
Please, let Talent2win know you found this job on RemoteYeah . This helps us grow 🌱.
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