Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for TWO95 International. Title: Senior Data Engineer Location: Sunnyvale, CA Position: 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 the business partners, product managers other engineering team. Minimum Qualifications • Very Strong engineering skills. Should have an analytical approach and have 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, 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 preferred Education If you have questions about this posting, please contact support@lensa.com