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
data warehousing principles and experience with Hadoop components will be invaluable as we strive to optimize non-relational.
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
years experience with the following: Informatica Hadoop T-SQL PL/SQL Pentaho Kettle Denondo Ab Initio Salary
Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing teams. An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks
Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing teams. An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks