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Sr Data Engineer (Google Cloud Platform)

K&K Global Talent SolutionsUnited States🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
23 hours ago
ETLAirflowData PipelineGoogle CloudHiveKafkaPython

Job Description

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

Role:- Sr Data Engineer (Google Cloud Platform)    

Location:- Sunnyvale, CA /Remote 

Fulltime

Job Description

Must Have Technical/Functional Skills

  • Google Cloud Platform (Google Cloud Platform)
  • PySpark
  • Python
  • Airflow
  • Hive
  • Kafka

Data Pipeline Development, Enhancement & Maintenance
 

  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Automate data ingestion from multiple data sources.
  • Ensure reliable, high-performance, and scalable data movement.
  • Develop and optimize PySpark-based data processing frameworks.
  • Build and manage Airflow workflows and orchestration pipelines.
  • Work with Hive and Kafka-based batch and streaming data solutions.
  • Implement data quality, monitoring, governance, and operational controls.
  • Support production incidents, performance tuning, and continuous improvement initiatives

Roles & Responsibilities

  • The Data Engineer will be responsible for designing, building, governing, and optimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations.

Preferred Experience

  • Strong Functional Knowledge in Retail (Search & Personalization) Added advantage.
  • Strong experience with large-scale Google Cloud Platform Data Engineering solutions.
  • Hands-on experience with Airflow DAG development and support 
  • Experience building and optimizing Spark/PySpark data pipelines. 
  • Exposure to Hive-based data processing and Kafka-driven ingestion frameworks. 
  • Experience supporting analytics, personalization, recommendation, or search platforms is highly desirable

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