Sr. Data Engineer (Sql, Hive, TeraData)
On-siteSunnyvale, California, United States
Sunnyvale, California, United StatesOn-siteContractSenior Level
ContractSenior Level
Job Summary
Provide business insights by leveraging internal tools, databases, and industry data. Transform business requirements into code, analytical reports, and specific tools while conducting root cause analysis, investigation, debugging, and testing. Collaborate with business partners, product managers, and engineering teams on coding, analytical modeling, and ETL processes. Document requirements, data lineage, and subject matter in both business and technical terminology. Guide and learn from other team members while maintaining strong communication skills for varied audiences.
Required Qualifications
- Minimum of 5+ years' experience
- Very Strong engineering skills
- Analytical approach
- Good programming skills
- 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
- 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
- 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)
- BS degree in specific technical fields like computer science, math, statistics
Desired Qualifications
- Experience in retail business
- Development experience with Java, Scala, Flume, Python
- Cassandra
- Automic scheduler
- R/R studio, SAS experience
- Presto
- Hbase
- Tableau or similar reporting/dash boarding tool
- Modeling and Data Science background
- Retail industry background
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