5+ years of hands-on experience with Python and Apache Spark., Strong experience with AWS services, especially S3, Glue, SageMaker, Lambda, Step Functions / Airflow / MWAA., Practical knowledge of AWS automation using AWS CLI, boto3, IAM roles., Solid understanding of algorithms, data structures, statistics, and linear algebra., Experience with training and deploying ML models using TensorFlow or PyTorch., Understanding of distributed systems and Big Data technologies (Hadoop, Hive, or equivalents)., Proficiency in SQL (Spark SQL / Hive SQL) and experience building production-grade data pipelines., Strong Git skills (Bitbucket, branching workflows, code review)., Experience working in Agile/SAFe environments., Experience with ML models such as propensity modeling, CLV, micro-segmentation, recommendation engines., Experience supporting business teams during model development and deployment processes.

sharing the costs of sports activities, private medical care