We are looking for an experienced Data Engineer to design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
Key responsibilities include building and supporting ML pipelines for model training, deployment, and monitoring, collaborating cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions, developing APIs and services for data ingestion, transformation, and querying, and ensuring the reliability of ML systems through strong observability and operational tools.
Required Skills and Qualifications
* 5+ years as a Data Engineer or MLOps Engineer.
* Strong experience with Python, Java, or Scala.
* Hands-on with GCP (preferred), AWS or Azure.
* Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Familiarity with Apache Kafka, Spark, or similar tools is a big plus.
* Experience with ETL, CI/CD, git, and monitoring pipelines.
* Strong communication skills and fluency in English (written & spoken) is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.
Benefits
* Top-tier hourly rate paid in USD.
* Long-term contract opportunity.
* Fully remote work – collaborate with international teams from the comfort of your home.
* A high-impact role within a data-driven company.