Sr. AWS Data Analytics


San Diego, CA

Industry: Technology


5 - 7 years

Posted 275 days ago

  by    Cynet Sytems

This job is no longer available.

We are looking for Sr. AWS Data Analytics for our client in San Diego, CA

Job Title: Sr. AWS Data Analytics

Job Location: San Diego, CA

Job Type: Contract ? 12 Months / Contract to Hire / Direct Hire

Job Description:

  • Gathering functional requirements, developing technical specifications, and project & test planning.
  • Helps to align to overall strategies and reconcile competing priorities across organization.
  • Designing/developing schema definitions.
  • Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging data and design problems.
  • Designing/developing ETL jobs across multiple platforms and tools including Hadoop, Vertica,
  • Roughly 70-80% hands-on coding.
  • Resolve defects/bugs during QA testing, pre-production, production, and post-release patches.
  • Work cross-functionally with various Intuit teams: Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers.
  • Contribute to the design and architecture of project across the data landscape.
  • Experience with Agile Development, SCRUM, or Extreme Programming methodologies.

Must Have Skills:

  • BS/MS in computer science or equivalent work experience.
  • 5-8years?experience developing DB schemas, creating ETLs, and familiar with Hadoop/MPP systems.
  • Strong experience in one of the Columnar and MPP database (Vertica, Teradata, Netezza, etc.) is a must have
  • Advanced experience in writing complex SQL, ETL batch processes, SQL tuning is a must have
  • Advanced experience with scriptinglanguage ? Python or Shell is a must have
  • Experience with Amazon web services: EC2, S3, and EMR (Elastic Map Reduce) or equivalent cloud computing approaches
  • Strong expertise in Data Warehousing and analytic architecture
  • Experienceworking with large data volumes
  • The ability to get code in to production

Nice to Have:

  • Hands on experience with Hadoop stack of technologies? Hive, Pig, pig-udf