- 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.
Positive-to-Have:
- 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.
SN Responsibility of / Expectations from the Role
1 Design high quality deliverables adhering to business requirement with defined standards and design principles, patterns
2 Develop and maintain highly scalable, high performance Data transformation applications using Apache Spark framework
3 Develop/Integrate the code adhering to CI/CD, using Spark Framework in Scala/Java
4 Provide solutions to Big data problems dealing with huge volumes of data using Spark based data transformation solutions , Hive, MPP processes like IMPALA.
5 Create Junit tests and ensure code coverage is met as per the agreed standards
6 Should be able to work with a team who might be geographically distributed. Review the code modules developed by other juniors