• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 6th Jan 2021

       Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem.

·         Coding and architecting of end-to-end applications on modern data processing technology stack (e.g. Hadoop, Cloud, Spark ecosystem technologies)

·         Build continuous integration/continuous delivery, test-driven development, and production deployment frameworks

·         Build utilities, user-defined functions, and frameworks to better enable data flow patterns.

·         Lead conversations with infrastructure teams (on-prem & cloud) on analytics application requirements (e.g., configuration, access, tools, services, compute capacity, etc.)

·         Familiarity with building data pipelines, data modeling, architecture & governance concepts

·         Experience implementing ML models and building highly scalable and high availability systems

·         Experience operating in distributed environments including cloud (Azure, GCP, AWS etc.)

·         Experience building, launching and maintaining complex analytics pipelines in production

·         Platforms: Hadoop, Spark, Kafka, Kinesis, Oracle, Teradata

·         Languages: Python, PySpark, Hive, Shell Scripting, SQL, Pig, Java / Scala

·         Proficient in MapReduce, Conda, H2O, Spark, Airflow / Oozie / Jenkins, Hbase, Pig, No-SQL, Chef / Puppet, Git