Senior Data Engineer

hace 1 mes


Buenos Aires, Argentina Trafilea A tiempo completo

We are seeking a highly skilled Data Engineer

to join our team at Trafilea. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines and data models for new and existing products in our data platform.

Key Responsibilities:

  • Design and implement data pipelines using cloud technologies such as AWS.
  • Develop new ETLs using Apache Airflow and propose new initiatives to improve performance, scalability, and reliability.
  • Collect, process, and clean data from different sources using Python and SQL.
  • Work closely with architects and developers to ensure best practices and guidelines are followed.
  • Assess and communicate effectively the effort required for developments.
  • Discover new data sources to improve new and existing data pipelines.
  • Maintain detailed documentation of your work and changes to support data quality and governance.
  • Provide feedback and expert points of view as needed to help thrive all data initiatives in the company.

Requirements:

  • 2-3 years of experience as a Data Engineer, ML Engineer, or similar.
  • 2+ years of experience using Python object-oriented programming and scripting.
  • Strong experience creating data pipelines and ETL processes in modern technologies using Apache Airflow.
  • 2+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, RDS ...).
  • Experience with large-scale data and query optimization techniques using SQL.
  • Experience managing and monitoring data lakes systems.
  • Strong experience using source control management and CI/CD (GitHub actions/Gitlab pipelines).

What we offer:

  • Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
  • Opportunity to grow and develop both professionally and personally.
  • Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
  • Openness to new ideas and initiatives.
  • Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more.

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