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Senior Data Engineer Skills: SQL, Python, Java, Hadoop Experience: Designing, building, and maintaining Utilize your expertise in SQL, Python, Java, and Hadoop to ensure efficient data flow and transformation systems. Strong proficiency in SQL, Python, Java, and Hadoop. Track record of optimizing and managing large
experience in AWS technologies, Big Data solutions, Hadoop cluster design and maintenance. Requirements: Degree
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experience
Required: 3-5 years’ experience in Qlikview development Hadoop, Scala, Python experience 3-5 years’ experience
with the following:
data warehousing principles and experience with Hadoop components will be invaluable as we strive to optimize relational and non-relational. Experience working with Hadoop components (e.g., HDFS, Hive, Spark) and related
data warehousing principles and experience with Hadoop components will be invaluable as we strive to optimize relational and non-relational. Experience working with Hadoop components (e.g., HDFS, Hive, Spark) and related
intelligence, and analytical tool sets (e.g., Cloudera/Hadoop, Informatica, SAP HANA, SAP Business Objects, etc intelligence, or analytical tool sets (e.g., Cloudera/Hadoop, Informatica, SAP HANA, SAP Business Objects, etc