Description:
Salary: $120k - $120k/Year Responsibilities: Design, develop, and maintain ETL/ELT workflows using AWS Glue, Azure Data Factory, and Databricks. Write and optimize PySpark/Scala scripts for large-scale data transformations and cleansing. Automate data ingestion from RDBMS, APIs, flat files, or streaming sources (Kafka, Kinesis). Monitor and troubleshoot data pipeline performance, debugging failed jobs and optimizing runtime and cost. Manage and deploy cloud infrastructure via Terraform, CloudFor
Oct 25, 2025;
from:
dice.com