Senior Data Architect

1 dia atrás

Brasil beBeeEngineer Tempo inteiro US$90.000 - US$120.000

We are seeking a highly skilled Senior Data Engineer to design, build, and scale data and ML infrastructure using the latest technologies from Google Cloud Platform (GCP) and AWS.

About The Opportunity

  • Design scalable, high-performance data infrastructure to support real-time and batch processing of large datasets.
  • Build reliable and reusable services and APIs to facilitate data ingestion, transformation, and querying.
  • Create software tools, products, and systems to monitor and manage ML infrastructure and services.
  • Ensure ML systems are running efficiently for model development, training, evaluation, and inference.
  • Collaborate with senior management, product management, and engineers to develop data products.
  • Develop tools to monitor, debug, and analyze data and ML pipelines.
  • Design and implement scalable data schemas and models.
  • Mentor team members to strengthen the company's technical expertise.
Required Qualifications
  • 5+ years of experience as a Data Engineer or MLOps Engineer building platform-level capabilities for data-driven midsize to large corporations.
  • Strong programming skills in Python, Java, or Scala, with experience in developing large-scale, fault-tolerant systems.
  • Hands-on experience with cloud platforms (GCP preferred, but AWS or Azure acceptable).
  • Experience with BigQuery or similar MPP databases (e.g., Redshift, Snowflake).
  • Proficiency with ML frameworks such as TensorFlow or PyTorch and knowledge of ML deployment patterns.
  • Experience with Docker, Kubernetes, and other container/orchestration tools.
  • Solid experience building data pipelines and working with ETL processes.
  • Comfortable with command-line tools, Git, and other version control systems.
  • Strong communication and collaboration skills.
  • Self-starter with the ability to quickly become productive in a new environment.
Nice To Have Skills
  • Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar.
  • Experience with DBT (Data Build Tool) and Looker.
  • Understanding of common ML deployment patterns.

Mid-Senior level Full-time Information Technology IT Services and IT Consulting

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