Redolent Infotech Pvt. Ltd.
Data Engineer
Redolent Infotech Pvt. Ltd., San Bruno, California, United States, 94066
One of our direct clients is urgently looking for a
Data Engineer @ San Bruno, CA .
TITLE:
Data Engineer LOCATION:
San Bruno, CA DURATION:
6 to 12+ Months RATE:
DOE
Note:
Looking for a Data Engineer who is well versed with Hive, Spark, Python, and Airflow.
Skills: Designs, develops, and implements Hadoop ecosystem-based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required: Bachelor’s degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase. Hands-on experience with Unix, Teradata, and other relational databases. Experience with @Scale a plus. Strong communication and problem-solving skills.
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Data Engineer @ San Bruno, CA .
TITLE:
Data Engineer LOCATION:
San Bruno, CA DURATION:
6 to 12+ Months RATE:
DOE
Note:
Looking for a Data Engineer who is well versed with Hive, Spark, Python, and Airflow.
Skills: Designs, develops, and implements Hadoop ecosystem-based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required: Bachelor’s degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase. Hands-on experience with Unix, Teradata, and other relational databases. Experience with @Scale a plus. Strong communication and problem-solving skills.
#J-18808-Ljbffr