Data Engineer

This role involves working with cutting-edge big data platforms like Databricks and Apache Spark to push the boundaries of data processing and model enablement at a large scale. The position focuses on building and maintaining robust ETL/ELT pipelines for the ingestion, transformation, and aggregation of large-scale datasets across Hadoop and enterprise data platforms. It requires developing high-performance data processing jobs and optimizing pipeline performance and cost through efficient query patterns and compute tuning.