Job Description
📋 Description Own Spark-based data pipelines powering AI-driven personalization at scale. Build and scale data infrastructure to feed production ML models. Collaborate with ML engineers and scientists on data products for recommender systems and Work end-to-end on large-scale data systems touching millions of customers. 🎯 Requirements 5+ years of data engineering experience Deep expertise with Apache Spark and PySpark DataFrame API Experience with large-scale data processing on GCP Dataproc Strong Python development (unit testing, git, CI/CD) Experience with Parquet/Delta Lake, Kafka, and cloud data storage Familiar with Docker, Kubernetes, GitHub Actions, and SDLC practices 🎁 Benefits The base pay range for this position is USD 165,000 - 215,000 per year, with potential bonuses and
