Redolent Infotech Pvt. Ltd.
Data Engineer
Redolent Infotech Pvt. Ltd., Carlsbad, California, United States, 92002
One of our direct clients is urgently looking for
a Data Engineer @ Carlsbad, CA .
TITLE: Data Engineer LOCATION: Carlsbad, CA Duration: 6 to 12+ months Rate: DOE
Required: Proficient with Spark, Hive, and BigQuery Should know how to work with Airflow, ElasticSearch Good in Python, Scala, and Java
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 of experience in computer programming, software development, or related. 3+ years of solid Java and 2+ years of experience in design, implementation, and support of solutions for big data in Hadoop using Hive, Spark, Drill, Impala, HBase. Hands-on experience with Unix, Teradata, and other relational databases. Experience with @Scale is a plus. Strong communication and problem-solving skills.
#J-18808-Ljbffr
a Data Engineer @ Carlsbad, CA .
TITLE: Data Engineer LOCATION: Carlsbad, CA Duration: 6 to 12+ months Rate: DOE
Required: Proficient with Spark, Hive, and BigQuery Should know how to work with Airflow, ElasticSearch Good in Python, Scala, and Java
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 of experience in computer programming, software development, or related. 3+ years of solid Java and 2+ years of experience in design, implementation, and support of solutions for big data in Hadoop using Hive, Spark, Drill, Impala, HBase. Hands-on experience with Unix, Teradata, and other relational databases. Experience with @Scale is a plus. Strong communication and problem-solving skills.
#J-18808-Ljbffr