Sr. AWS Data Analytics

Confidential Company  •  San Diego, CA

5 - 7 years experience  •  Technology

Salary depends on experience
Posted on 04/17/18 by Cynet Sytems
Confidential Company
San Diego, CA
5 - 7 years experience
Technology
Salary depends on experience
Posted on 04/17/18 Cynet Sytems

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
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