Google Cloud Platform Data Engineer

Skills:

• Years of experience :  5-7 years
• Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow
• Big Data: PySpark
• Spark, Python, Google Cloud Platform is must have
• Strong experience with Spark , Data Frames
• Big Query background with data processing for large volumes  
• Another NO Sql DB is big plus - Spanner DB & Graph DB

Qualifications:

• Degree 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 experience
• Design of large-scale enterprise level big data platforms
• Experience working with and performing analysis using large data sets
• Proven and Demonstrated experience working with or on a mature, self-organized agile team