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BIG DATA ENGINEER← All Jobs

2019-07-19 | PLANO, TX | DOE | 12 Months+ Contract


Description

Big Data Engineer
12+ Months Contract
Plano TX



Must Have Skills: Azure, HDInsight, Hive, Spark, Spark Streaming, R/Python/Scala, APIs, Infoworks, Hbase
Desired Skills: Hive, Scala
s / Responsibilities: Hive developer for data lake harmonization
Essential Duties & Responsibilities:
• 5+ years of experience in Hadoop eco system
• 3 to 5 years of hands on experience in architecting, designing, and implementing data ingestion pipes for batch, real-time, and streams.
• 3 to 5 years of hands on experience with proven track record in building data lakes on HDInsight (Azure) platform.
• 3 to 5 years of hands on experience in Bigdata tools such as Sqoop, Hive, Spark, Scala, hBase, Mapreduce etc.
• 1 to 3 years of experience in Java/Python/Scala.
• Having hands on experience in using Infoworks / Nifi will be an added advantage.
• 2 to 4 years of experience in leading, guiding, and coaching data engineers.
• Having exposure to R and ML technologies are a plus.
• Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred
• BA/BS required; preferably in Computer Science, Data Analytics, Data Science or Operations Research
• Highly analytical, motivated, decisive thought leader with solid critical thinking able to quickly connect technical and business ‘dots’
• Has strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
• Able to understand statistical solutions and execute similar activities
Qualifications and Skills.
o 5+ years of experience in Hadoop eco system, Hive, Spark, Kafka, Java or R or Python and exposure to machine learning techniques.
o Knowledge of SAS, Teradata, Sqoop, NiFi is a plus
o Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred
o BA/BS required; preferably in Computer Science, Data Analytics, Data Science or Operations Research
o Highly analytical, motivated, decisive thought leader with solid critical thinking able to quickly connect technical and business ‘dots’
o Has strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
o Able to understand statistical solutions and execute similar activities


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