Data Engineer - Hadoop, PySpark, GCP & Neo4j
Staffing Spot, Inc.
Must Have Hadoop | HDFS | PySpark | GCP | Neo4j | Data Engineering | Location: Columbus, OH / Irving, TX Job Summary We are looking for an experienced Data Engineer with strong expertise in Hadoop, PySpark, GCP, and Neo4j . The ideal candidate will have a proven track record of building scalable data pipelines, processing large datasets, and developing cloud-based data solutions. Required Skills & Experience 6+ years of experience in Data Engineering. 4+ years of hands-on experience with PySpark. 4+ years of experience with the Hadoop ecosystem, including HDFS. 4+ years of hands-on experience with Google Cloud Platform (GCP). Hands-on experience with Neo4j and graph database technologies. Strong experience developing and optimizing large-scale data pipelines. Strong knowledge of ETL/ELT, data transformation, data integration, and data quality. Experience working with distributed data processing and big data environments. Strong problem-solving and troubleshooting skills. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Hadoop. Process and transform large datasets using distributed computing technologies. Develop and deploy data engineering solutions on GCP. Work with HDFS and the Hadoop ecosystem for large-scale data storage and processing. Design and implement graph-based data solutions using Neo4j. Optimize data pipelines for performance, scalability, and reliability. Perform data cleansing, transformation, validation, and integration. Collaborate with data architects, developers, analysts, and business stakeholders. Monitor and troubleshoot data pipelines and production data-processing jobs. Skills: data,pyspark,hadoop,data solutions,big data,data engineering,cloud,processing,neo4j,pipelines,gcp #J-18808-Ljbffr Staffing Spot, Inc.
Vacancy posted 2 days ago
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