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About
Build scalable Python-based backend services, APIs, and high-performance data processing workflows. Develop ETL/ELT pipelines, work with SQL, and distributed processing using PySpark/Spark. Design and maintain data models, warehouses/lakehouse architectures, and optimize large datasets for analytics and ML use cases. Operationalize ML pipelines in collaboration with data scientists. Qualifications
510+ years of experience in backend data engineering. Strong backend development expertise with Python. Hands?on experience with ETL/ELT pipelines, SQL, and PySpark/Spark. Expertise in AWS or GCP cloud services, Airflow or Prefect orchestration, and containerized deployments (Docker/K8s). Ability to write robust, reusable Python modules. Passion for building scalable, production?grade systems. Seniority level
Mid?Senior level Employment type
Full?time Job function
IT Services and IT Consulting
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Languages
- English
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