REMOVE ME !!!!!!!
From: Vuriti Rahul [mailto:rahul.v@vensiti.com]
Sent: Wednesday, November 14, 2018 3:01 PM
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Subject: Big Data Engineer///Phoenix, AZ
Hi Professionals,
Hope you are doing well!!!
We have an immediate job opening for Big Data Engineer, Phoenix, AZ & Raleigh, NC. Please let me know if you have any suitable candidates.
Bachelor’s Degree copy
PASSPORT Number
Previous project Badge ID
ANY VISA IS FINE
Role: Big Data Engineer
Duration: Long-Term
JD: Client: American Express , Phoenix, AZ
4+ Years of experience Expertize and hands-on experience on Java
– Must Have exp with Hadoop, Hive, Mapreduce, Spark
Must Have Good knowledge of Shell script
- Must Have Good Knowledge of one of the Workflow engine like Oozie, Autosys
– Good to Have Good knowledge of Agile Development
– Good to Have Passionate about exploring new technologies
-Good Communication Skills
JD: Client : Advanced Auto , Raleigh, NC
5+ years of experience owning and building data pipelines. Extensive knowledge of data engineering tools, technologies and approaches Ability to absorb business problems and understand how to service required data needs Design and operation of robust distributed systems Proven experience building data platforms from scratch for data consumption across a wide variety of use cases (e.g data science, ML, scalability etc) Demonstrated ability to build complex, scalable systems with high quality Experience with specific AWS technologies (such as S3, Redshift, EMR, and Kinesis) Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and Columnar databases. a plus Experience in one or more of Java, Scala, python and bash. Expected Outcomes: Design and implement data infrastructure and processing workflows required to build a data lake in AWS to support data science, machine learning, BI and reporting also in AWS Build robust, efficient and reliable data pipelines consisting of diverse data sources Design and develop real time streaming and batch processing pipeline solutions Own the data expertise and data quality for the pipelines Drive the collection of new data and refinement of existing data sources Identify shared data needs across Advanced Auto Parts, understand their specific requirements, and build efficient and scalable pipelines to meet various needs Build data stores for feature variables required for machine learning
Please feel free to reach me:
Thanks & Regards:
Rahul | Recruiter
T 972-887-7995x36 | rahul.v@vensiti.com
F 972-704-2937
Work Hours M-F 9 am- 6 pm CST
300E Royal Lane, Suite 109, Irving, TX – 75039
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