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Role Spark/Scala Developer Required Technical Skill Set Hadoop, Hive, Impala, Advanced SQL, Spark, Scala, OS (Unix), CI/CD Tools (Git, Jenkins, Nexus), Agile (Jira, Confluence), Relational Databases. Scala is Mandatory Experience Range 7-12 years Location of Requirement Chennai, Bangalore, Hyderabad, Gurugram, Pune Desired Competencies (Technical/Behavioral Competency) MustHave 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