ETL Data Engineer : 19-01602

Seattle, WA 95125

Posted: 04/10/2019 Job Category: BI, ETL & Data Warehousing Job Number: 12067709
Akraya is looking for a ETL Data Engineer for one of our clients. If the job description below is a fit, please apply directly or call Pallav  at  408-512-2427. If this position is not quite what you’ re looking for, visit akraya.Com and submit a copy of your resume. Our recruiters will get to work finding you a job that is a better match at one of our many clients.

Primary Skills: ETL, SQL,  Bigdata (MapReduce, Spark, Flink, Kafka)
Duration: Long Term
Contract Type: W2 Only

Qualifications:
  • Define, design, implement and test data integration modules.
  • Estimate engineering effort; plan implementation, and rollout system changes.
  • Must be able to independently design, code, and test major features.
  • Share engineering support, release, and on-call responsibilities.
  • Understanding of data models and data structures. Knowledge of Star Schema, Data Normalization.
  • Understanding of difference between 3NF and Star Schema.
  • Exposure and experience working in big data environments managing terabytes of data and information.
  • Proficient in parallel data processing concepts.
  • Utilize ETL best practices and implement them for process improvement.
  • Proficiency in SQL, Teradata SQL a plus.
  • Experience in developing Bigdata visualization tools is a plus.
  • Experience in Bigdata technologies like MapReduce, Spark, Flink, Kafka is a plus.

    Please apply directly with your updated resume or call Pallav  at  408-512-2427

About Akraya
Akraya, Inc. Is an award-winning staffing firm that works with many of the leading, technology-based companies around the world. We have been ranked as one of the “ Best Staffing Firms to Temp for” by Staffing Industry Analysts on multiple occasions and are a preferred staffing vendor within numerous staffing programs. Please visit akraya.Com to search through all of our current openings or to submit your resume to our recruiting team.

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