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Data Engineer

Location: Woodland Hills, CA
Job # 9719933
Job Description:
Contract W2 / Fulltime hire. (If you are looking full time hire position, please mention specifically in the submssion email)
C2C is not an option for this position.
 (We are also ok for cap exempt h1 transfer for this position)
Minimum Qualifications
  • BS in Computer Science, Mathematics, or a similar field.
  • Object Oriented programming skills in Python and Java, and a willingness to learn other languages (e.g. R) as needed.
  • Familiarity with database fundamentals including SQL, schema design, and performance tuning.
  • Functional understanding of HADOOP-based technologies and systems, including Hive QL, MR, and Spark SQL.
  • 4+ years of experience integrating technical processes and business outcomes – specifically: data architecture and models, data and process analysis, data quality metrics / monitoring, developing policies / standards & supporting processes.
  • 4+ years of hands-on data engineering experience.
  • 2+ years DevOps experience including configuration, monitoring and version control.
  • Record of accomplishment working with data from multiple sources – willingness to dig-in and understand the data and to leverage creative thinking and problem solving.
  • Excellent interpersonal and communication skills, including business writing and presentations. Ability to communicate objectives, plans, status and results clearly, focusing on critical few key points.
Preferred Qualifications
  • MS in Computer Science, Mathematics, or a similar field.
  • Familiarity and experience with AWS services.
  • Advanced programming skills in both Python and Java. Familiarity with R.
  • Strong Dimensional Modelling Skills on HADOOP or MPP (e.g. Vertica, Redshift).
  • 6+ years of experience integrating technical processes and business outcomes – specifically: data architecture and models, data and process analysis, data quality metrics / monitoring, developing policies / standards & supporting processes.
  • 6+ years of hands-on data engineering experience.
  • 2+ years DevOps experience including configuration, optimization, backup, high reliability, monitoring and systems version control.
  • 2+ years of experience building and operating scalable and reliable data pipelines based on Big Data processing technologies like Hadoop, MR, Spark or ETL on MPPs
  • 2+ years of hands-on experience with analytics, building and operating DW on HADOOP, Vertica or Redshift MPP.
  • Demonstrated ability to work in a matrix environment, ability to influence at all levels, and build strong relationships.
  • Knowledge of enacting service level agreements and the appropriate escalation and communication plans to maintain them.
Please call Suresh Krishnamurthy on 510-795-4800 Ext 152.
Thanks & Regards
Suresh Krishnamurthy.
Talent Acquisition
Skrishnamurthy@etouch.net Work: +1.510.795.4800 x152  |eTouch Systems Corp|Custom Development Solutions | Integration & Support Services | Professional Services
6627 Dumbarton Circle | Fremont, CA 94555 www.etouch.net   www.linkedin.com/in/etouchsuresh/
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