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

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