Google Data Engineer

Role & responsibilities

GCP Hadoop, Pyspark, SparK

Preferred candidate profile

Must-Have

Experience in Apache Spark and Distributed computing frameworks.
• Professional hand-on experience in Python, Pyspark, Java.
• Professional hand-on experience in Sql and Query Optimization.
• Experience in programming design patterns.
• Experience in system design.
• Should have Experience with CI/CD tool like Jenkins etc.
• Should have Experience with Orchestration tools like Airflow/ Automic etc.
• Should have hand-on experience in Data processing and Data manipulation skills like Data warehousing concepts, SCD types etc.
• Mandatory - one cloud exposure (GCP is preferred to adapt to a fast-paced and continuously evolving environment).

Good-to-Have

Experience in Apache Spark and Distributed computing frameworks.
• Professional hand-on experience in Python, PySpark, Java.
• Professional hand-on experience in Sql and Query Optimization.
• Experience in programming design patterns.
• Experience in system design.
• Should have Experience with CI/CD tool like Jenkins etc.
• Should have Experience with Orchestration tools like Airflow/ Automic etc.
• Should have hand-on experience in Data processing and Data manipulation skills like Data warehousing concepts, SCD types etc.
• Atleast one cloud exposure (GCP is preferred