Description:
Senior-level role requiring 8 10 years of experience in designing and building enterprise-scale data engineering solutions.Develop and maintain high-throughput batch and real-time data pipelines using Python, PySpark, Spark Structured Streaming, and SQL.Design and implement dimensional and normalized data models, schemas, and ELT/ETL frameworks across cloud and on-prem platforms.Build ingestion frameworks from REST APIs, RDBMS, NoSQL, and event streams using Kafka, Kinesis, or Pub/Sub.Implement
Jan 26, 2026;
from:
dice.com