Google Cloud Platform Data Engineer

SkillsYears of experience : 5-7 yearsGoogle Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/AirflowBig Data: PySparkSpark, Python, Google Cloud Platform is must haveStrong experience with Spark , Data FramesBig Query background with data processing for large volumes Another NO Sql DB is big plus - Spanner DB & Graph DBQualificationsDegree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience)6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven.knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.Experience in Google Cloud Platform. Experience in SQL.Large scale data engineering and business intelligence delivery experienceDesign of large-scale enterprise level big data platformsExperience working with and performing analysis using large data setsProven and Demonstrated experience working with or on a mature, self-organized agile team