About the job :
● Big data Spark & Scala / Java.
● Hadoop Developer with string programming and SQL skills. Having overall 2 to 8 years of
experience and around 2 years relevant experience in Big Data Hadoop.
● Solid hands-on experience in either Java or Scala.
● Good understanding of Hadoop ecosystem and architecture.
● Hands-on experience of working with HDFS, Hive, Sqoop, components of the Hadoop.
● Hands-on experience in Apache Spark Core, Apache Spark Streaming and Kafka.
● Ability to write basic Linux/Unix shell scripts.
Qualifications and Experience :
● Bachelors in Computer Science/ Information Technology.
● Minimum 2+ years of experience in Big data Spark & Scala / Java.
Data Engineer :
Experience level: 4 to 8.
Programming: Java, Scala, sql, shell scripting.
Framework: hadoop, hdfs, kafka, spark(core, sql, streaming, ml), hive, hbase Good to have: python, etl tools, azure cloud, NoSql databases.
Senior Data Engineer :
Experience level: 7 to 10.
Programming: java, python, scala.
Framework: hadoop stack, netezza or teradata mpp, aws or azure cloud.
Good to have: Retail domain experience, design and solutioning skills.
Junior Data Engineer :
Experience level: Upto 4.
Programming & Scripting: java 8, sql, shell script.
Framework: REST or microservices, hadoop stack.
Good to have: ETL and reporting tools.