Senior Data Architect

hace 5 días

Buenos Aires, Argentina Trafilea A tiempo completo

About Trafilea

Trafilea is a dynamic and innovative company that is looking for a skilled Sr Data Engineer to join our team. As a Sr Data Engineer, you will play a critical role in building and maintaining our data platform, which is a key driver of our business growth.

Key Responsibilities

  • Data Pipeline Development: Design, implement, and maintain data pipelines that produce business-critical data reliably and efficiently using cloud technologies.
  • ETL Development: Develop new ETLs using Apache Airflow and propose new initiatives to improve performance, scalability, reliability, and overall robustness.
  • Data Processing: Collect, process, and clean data from different sources using Python and SQL.
  • Collaboration: Work closely with our main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects.
  • Communication: Assess and communicate effectively the effort required for developments.
  • Data Source Discovery: Discover new data sources to improve new and existing data pipelines.
  • Documentation: Maintain detailed documentation of your work and changes to support data quality and governance.
  • Expertise: Provide feedback and expert points of view as needed to help thrive all data initiatives in the company.
  • Process Improvement: Improve the quality of existing and new data processes (ETL), incorporating statistical process control, creating alerts when anomalies are received from data sources on every step of the pipeline.
  • Benchmarking: Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.

Requirements

  • Experience: 2-3 years of experience as a Data Engineer, ML Engineer, or similar.
  • Programming Skills: 2+ years of experience using Python object-oriented programming and scripting.
  • Cloud Experience: Strong experience creating data pipelines and ETL processes in modern technologies using Apache Airflow as the main workflow management tool.
  • AWS Experience: 2+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, RDS...).
  • SQL Experience: Experience with large-scale data and query optimization techniques using SQL.
  • Data Lake Management: Experience managing and monitoring data lakes systems.
  • Source Control: Strong experience using source control management and CI/CD (GitHub actions/Gitlab pipelines).
  • Nice to Have: Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR.
  • Nice to Have: Knowledge and hands-on on cloud stream-processing systems.
  • Nice to Have: Hand-on IAC solutions like Terraform or CloudFormation.

What We Offer

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

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