GCP Data Engineer

 Posted 16 hours ago
  
 India
  
5-10 years experience
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AI Summary

Design, develop, and optimize scalable data pipelines and cloud-native data solutions on GCP. Build both batch and real-time data processing applications using data lake and data warehouse architectures.

Required Skills

  • Strong experience in Python programming.
  • Hands-on expertise with PySpark for large-scale data processing.
  • Experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Dataproc
  • Dataflow
  • Cloud Storage
  • Pub/Sub
  • Cloud Composer (Airflow)
  • Strong SQL skills and experience with relational databases.
  • Experience building batch and real-time data pipelines.
  • Good understanding of Data Lake and Data Warehouse concepts.
  • Knowledge of distributed computing and Spark optimization techniques.
  • Experience with Git, CI/CD pipelines, and Agile methodologies.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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