Dur :- 6 M+

Rate:- Open

Job Description

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
  

Education

• BS degree in specific technical fields like computer science, math, statistics preferred