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Reference # : 17-05048 Title : Senior Data Engineer
Location : Sunnyvale, CA
Position Type : Contract
Experience Level : 5 Years Start Date / End Date : 11/15/2017 / 01/31/2018  
Position Summary
? Very Strong engineering skills. Should have an analytical approach and have good programming skills.
? Provide business insights, while leveraging internal tools and systems, databases and industry data
? Minimum of 5+ years' experience. Experience in retail business will be a plus.
? Excellent written and verbal communication skills for varied audiences on engineering subject matter
? Ability to document requirements, data lineage, subject matter in both business and technical terminology.
? Guide and learn from other team members.
? Demonstrated ability to transform business requirements to code, specific analytical reports and tools
? This role will involve coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.

Must Have
? Strong analytical background
? Self-starter
? Must be able to reach out to others and thrive in a fast-paced environment.
? Strong background in transforming big data into business insights

Technical Requirements
? Knowledge/experience on Teradata Physical Design and Implementation, Teradata SQL Performance Optimization
? Experience with Teradata Tools and Utilities (FastLoad, MultiLoad, BTEQ, FastExport)
? Advanced SQL (preferably Teradata)
? Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).
? Strong Hadoop scripting skills to process petabytes of data
? Experience in Unix/Linux shell scripting or similar programming/scripting knowledge
? Experience in ETL/ processes
? Real time data ingestion (Kafka)

Nice to Have
? Development experience with Java, Scala, Flume, Python
? Cassandra
? Automic scheduler
? R/R studio, SAS experience a plus
? Presto
? Hbase
? Tableau or similar reporting/dash boarding tool
? Modeling and Data Science background
? Retail industry background