Big Data Engineer

Role: Big Data Engineer


Location: Renton, Washington


Duration: 6 Months

Top Three Skills:

• 5-years in SQL, SQL Server, Oracle, JDBC
• 5-years in Hadoop, HDFS, MapReduce, YARN
• 5-years in Sqoop, Oozie, Parquet, Hive, Impala, Spark, HBase, HUE

Job Description:


Client is looking for a Big Data, Data Engineer.

• This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera Director 2.1, CDH 5.7, and Cloudera Manager along with Apache Hive, Yarn, HBase, and Spark.
• Cloudera based data lake
• CDH 5.7.3 on Azure cloud platform
• Moving data from large SQL Server based tables into lake is biggest challenge
• Concerns around Incremental data load strategy
• Performance and Scalability issues in order to meet SLA with business teams
• Limited internal bandwidth and skill set on No SQL database (Hbase)
• Data Source - Epic (Clarity DB)
• Mostly all structure data sets to ingest to lake
• Large volume of data in some tables

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Syed Raza


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