Senior Data Engineer

Teradata, Hive,SQL, FastLoad, Hadoop script, Unix,ETL
Contract Corp-To-Corp, Contract Independent, Part Time, 12+ MONTHS
Depends On Experience
Work from home not available Travel not required

Job Description

Should be Advanced SQL Expert (preferably Teradata) and knowledge on Hive/Hadoop.


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 

Dice Id : 10216105
Position Id : 732762
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