CV Library
Senior Data Engineer
CV Library, Sunnyvale, California, United States, 94087
Title:
Senior Data EngineerLocation:
Sunnyvale, CAPosition:
2 Month (Contract)Summary:Provide business insights, while leveraging internal tools and systems, databases, and industry data.Roles & Responsibilities: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 business partners, product managers, and other engineering teams.Minimum Qualifications:Very strong engineering skills with an analytical approach and good programming skills.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.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 and 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.Education:
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Senior Data EngineerLocation:
Sunnyvale, CAPosition:
2 Month (Contract)Summary:Provide business insights, while leveraging internal tools and systems, databases, and industry data.Roles & Responsibilities: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 business partners, product managers, and other engineering teams.Minimum Qualifications:Very strong engineering skills with an analytical approach and good programming skills.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.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 and 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.Education:
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