Offer summary

Qualifications:

Minimum of 10+ years of development and hands-on coding experience., Proficiency in Hadoop ecosystem components such as HIVE, Pyspark, HDFS, SPARK, Scala, Streaming (Kinesis, Kafka)., Strong experience in PySpark and Python development., Ability to write complex SQL queries and Hive/Impala queries..

Key responsibilities:

Develop and maintain big data pipelines using Hadoop and Spark technologies.

Write and optimize complex SQL and Hive/Impala queries.

Work with AWS services like Lambda, EMR, and manage data clusters.

Collaborate with teams to design scalable data solutions.

Job description

Sr Hadoop Big Data Engineer-

Required Skills:

Experience in Hadoop ecosystem components: HIVE,Pyspark, HDFS, SPARK, Scala, Streaming,(kinesis, Kafka)
Strong experience in PySpark, Phython development
Proficient with writing Hive and Impala Queries
Ability to write complex SQL queries
Experience with AWS Lambda, EMR, Clusters, Partitions, Data pipelines Must have 10+ years development and hands on coding experience

Please send resume to hr@cubetechus.com or apply at the below link

Required profile