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Data Engineer

hace 2 meses

Guadalajara, Jalisco, México Tech Holding A tiempo completo
About Tech Holding

We are a full-service consulting firm that delivers predictable outcomes and high-quality solutions to our clients. Our team members have industry experience and have held senior positions in various companies, from emerging startups to large Fortune 50 firms.

The Role

We are seeking a skilled Data Engineer to design, develop, and maintain data pipelines and workflows for ingesting, processing, and analyzing large-scale video data using AWS EMR, Python/Java, and Spark.

Key Responsibilities:

  • Design and implement data pipelines for video processing using AWS EMR, Python/Java, and Spark
  • Utilize advanced image/video recognition techniques to extract relevant information from video content
  • Create and deploy custom AI/ML models to identify and classify specific elements, objects, or events within videos
  • Collaborate with cross-functional teams to integrate video processing capabilities into end-to-end data solutions
  • Optimize and scale video processing workflows to handle large volumes of data

Requirements:

  • Strong experience in AWS EMR, Python/Java, and Spark for data engineering and processing tasks at scale
  • In-depth knowledge of AI/ML techniques and frameworks, including custom model development and training
  • Demonstrated expertise in video processing, including familiarity with video formats, codecs, and video-specific data engineering challenges
  • Proficiency in implementing image/video recognition algorithms and techniques beyond standard AI offerings
  • Solid understanding of advertising principles and the ability to identify and extract relevant elements from video content for advertising opportunities

Preferred Qualifications:

  • Experience with containerization technologies, such as Docker and Kubernetes
  • Knowledge of deep learning frameworks, such as TensorFlow or PyTorch
  • Previous exposure to video analytics, computer vision, or natural language processing

We offer remote work opportunities, flexible work hours, and professional development opportunities.