Data Engineer

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  • N/A
  • FullTime
  • Applications have closed

Fulltime Data Engineer

Location Cleavland OH ,Pittsburgh, PA

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using PySpark , Python , and Hadoop ecosystem tools (HDFS, Hive, HBase, etc.)

  • Manage and optimize large-scale data ingestion, transformation, and storage solutions.

  • Collaborate with cross-functional teams to integrate data from multiple sources (databases, APIs, streaming platforms, etc.)

  • Ensure data quality, consistency, and reliability across data pipelines.

  • Implement and monitor job scheduling, logging, and alerting for data workflows.

  • Tune performance of Spark jobs and Hadoop clusters for scalability and efficiency.

  • Work with cloud platforms (AWS EMR, Azure HDInsight, or Google Cloud Platform Dataproc) for big data processing.

  • Develop and maintain data models, schemas, and metadata documentation.

  • Collaborate with DevOps teams to automate data deployment and version control.