Proficiency with Hadoop ecosystem technologies, including HDFS and Spark., Good knowledge of Big Data querying tools such as Hive and Impala., Experience with data ingestion using Spark for various file formats like JSON, CSV, and Parquet., Strong programming skills in Python and hands-on experience with Azure DataBricks, ADF, and Power BI..
Key responsibilities:
Provide Hadoop production support and implementation.
Translate complex functional and technical requirements into detailed design.
Load and process disparate data sets according to business needs.
Monitor data performance and maintain security and data privacy.
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