Scala Developer

Must have 

Big Data/Hadoop Experience particularly in ingesting data and
implementing Data ingestion pipelines, SQOOP, HADOOP, HDFS, HIVE,
IMPALA, Java, Scala, Spark
● Scala is Mandatory
● Data Engineer with below responsibilities:
● Lead Data Engineer to build data pipelines to support implementation of
data science and analytics use cases.
● Candidate needs to be able to develop code in the corresponding
language (see technical skills), test it, and follow up with the
implementation into Production environment.
● Candidates will also take part in the solution design phase, so experience
in analysis requirements is desirable.
● Technical expert to lead a squad of engineers for a Data Product and
implement data transformation projects in Hadoop.
● Candidate will lead a team of 3-5 data engineers with minimum
supervision and integrate with wider IT and business project teams.

Good-to-Have
Good exposure to Unix and HDFS commands
● Experience in Pyspark will be an added advantage
● Experience working on Data Analytics will be an added advantage
● Experience in SAS will be an added advantage

Responsibility of / Expectations from the Role
Good work experience on Big Data Platforms like Hadoop, Spark, Scala, Hive,
Impala, SQL
● Experience working on Data Engineering projects
● Good Understanding of SQL
● Good understanding of Unix and HDFS commands
● Communication
● Experience working on Data Analytics and Pyspark
● Exposure to Tableau & SAS