Job Description
Python, data structures, basic software engineering discipline (clean code, testing) ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluation Data handling: SQL, data quality, feature understanding Git, basic CI/CD awareness Cloud basics (any of AWS/Azure/GCP), containers (Docker) basics Distributed computing: Spark, Ray Data engineering familiarity: ETL/ELT, orchestration (Airflow/ADF) Security basics: secrets management, IAM concepts
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