GCP Data Engineer

Role Overview

GCP Data Engineer

Key Responsibilities

• Design, build, and maintain

  data pipelines and ETL workflows

  on GCP.
• Develop and optimize

  PySpark

  scripts and Spark-based data processing solutions.
• Work with

  BigQuery

  to manage datasets, write complex SQL queries, and optimize data performance.
• Utilize the

  Hadoop ecosystem

  (HDFS, Hive, MapReduce, etc.) for scalable data processing.
• Collaborate with clients to understand requirements, provide updates, and ensure successful project execution.
  
• Troubleshoot performance issues across GCP, Spark, and Hadoop environments.
  
• Ensure data quality, reliability, and best practices across the data lifecycle.
  

Mandatory Skills

• Google Cloud Platform (GCP)

  BigQuery, Cloud Storage, Dataflow/Dataproc

• Hadoop ecosystem

  experience

• PySpark

  and Spark-based data processing

• BigQuery

  data modeling and performance tuning
• Excellent communication skills and ability to interact directly with clients
  
• Strong team player with ability to work in cross-functional environments
  

Good to Have Skills

• Experience with

  Analytics/Visualization tools

  (Tableau, R)
• Knowledge of

  Core Java

• Familiarity with

  Linux

  environment
• Strong

  SQL

  expertise
• Exposure to

  scripting languages

  (Shell, Python, or similar)

• Interested candidates kindly share their resume along with PANCARD,PHOTO @rehanabegum.naddimulla.kiya.ai