Walk-in || Scala Data Engineer

Experience Range**4-10 Yrs:

Required Technical Skill Set**Bigdata Scala/Java, Spark, Hive, Unix Shell Scripting
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 skillsGood-to-HaveShould 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.

Responsibility of / Expectations from the Role

• Design high quality deliverables adhering to business requirement with defined standards and design principles, patterns2Develop and maintain highly scalable, high performance Data transformation applications using Apache Spark framework3Develop/Integrate the code adhering to CI/CD, using Spark Framework in Scala/Java4Provide solutions to Big data problems dealing with huge volumes of data using Spark based data transformation solutions , Hive, MPP processes like IMPALA.5Create Junit tests and ensure code coverage is met as per the agreed standards6Should be able to work with a team who might be geographically distributed. Review the code modules developed by other juniors.