Spark, Scala, Bigdata, Kafka, NoSQL
Role Description :
Design high quality deliverables adhering to business requirement with defined standards and design principles, patterns
Develop and maintain highly scalable, high performance Data transformation applications using Apache Spark framework
Develop / Integrate the code adhering to CI / CD, using Spark Framework in Scala / Java
Provide solutions to big data problems dealing with huge volumes of data using Spark based data transformation solutions, Hive, MPP processes like IMPALA.
Create Junit tests and ensure code coverage is met as per the agreed standards
Should be able to work with a team who might be geographically distributed.
Review the code modules developed by other juniors.
Competencies : Digital : Bigdata and Hadoop Ecosystems, Digital : Scala
Experience (Years) : 4-6
Essential Skills :
Hands on development experience in programming languages such as JAVA, SCALA using Maven, Apache Spark Frameworks and Unix Shell scripting
Should be comfortable with Unix File system as well as HDFS commands
Should have worked on query languages such as Oracle SQL, Hive SQL, Spark SQL, Impala, HBase DB
Should be flexible
Should have good communication and customer management skills
Desirable Skills :
Should have knowledge on big data Data Ingestion tools such as SQOOP and KAFKA.
Should be aware of the components in Big Data ecosystem.
Should have worked on building projects using Eclipse IDE, Tectia Client, Oracle SQL Developer.
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