Hi,
My client is looking for Big Data Engineer.
Please let me know if you are interested for this position.
Position: Big Data Engineer
Location: Lexington, KY (Remote may be possible)
Duration: ASAP through 12/31/2015
Client: Toyota
Note that this is quite different from creating Pig batch jobs running in an on-premise Hadoop cluster using HDFS.
Job Description
Big Data Engineering resource, ideally with experience working on/with AWS. These resources should be able to travel to Lexington and should be able to start w/ in the next couple of weeks, working through EOY…
Build and tune a Spark/Python-based system in AWS that will allow data scientists to run ad-hoc queries from R against nearly-raw JSON/Parquet files residing in S3. Given our strict security requirements, the candidate must have strong AWS experience with VPCs, subnets, cross-account access, instance profiles, assuming roles, and so on. Finally, they must be capable of writing version-controlled Bash/Python scripts to automate the environment.
In terms of technology keywords, I would say the following are mandatory: PySpark, Spark SQL, Spark DataFrames, Python, Boto, AWS CLI, S3, EC2, VPCs, Thrift, Bash, Git, JSON, and Parquet. The following may be helpful, but should not be their primary qualification: Jupyter, Spark Scala, Spark Java, Maven, JDBC, HDFS, Data Pipeline, EMR, Hive, and Redshift/Postgres
If interested then please send me below information to submit your resume.
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Thanks,
Bhanu Pratap Singh
Source InfoTech Inc.
W: 609-917-3310| F: 732-909-2282| Email: bhanu@sourceinfotech.com | Website: www.sourceinfotech.com | Hangout: recruiter.bhanu22@gmail.com
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