Purpose

Independently Design and build/configure Big data pipelines as per the design
Able to identify and solve big data problems independently.
Work closely with Sr. Big data developer to report any issues in build
Work on defect fixes during QA & UAT.
Work through the life cycle of the code from low-level design to production and Postproductions support.

Experience

8-15 yrs. of IT experience with more than 4 yrs. of big data implementation experience.

Capabilities

Strong technical and analytic skills to solve complex big data problems.
Experienced with Spark software stack, Prior experience in working on Spark using Python or Scala or Java and PySpark based big data implementations.
Have strong knowledge and hands-on few of HDFS, Map reduce Hive, Impala, Tej, Sqoop, Pig, Oozie, HBase, Cassandra, Mongo DB, Kafka, Spark, Storm, Knox, Ranger, Flume, NiFi, Falcon, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator and Ambari.

Enterprise Competencies

Technical Competencies

Big Data Stack (Spark, Hive, Hbase, Apache Pheonix, Pig), Python , Scala, Kafka, Spark Streaming, Atlas, Pig, Java ,SQL, Impala, Tej, Sqoop, Pig, Oozie, HBase, Cassandra, Mongo DB,
Kafka, Spark, Storm, Knox, Ranger, Flume, Nifi, Falcon, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator and Ambari.
Good Handson Experience in AWS Glue
Good Experience in CICD & DevOps concepts
Good experience working in any cloud environment (Azure / AWS Glue/ GCP) using Agile methodology

ADAPT Engineer

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