
Senior Data Engineer – GCP
4 weeks ago
Locations : Chennai | Bangalore | Hyderabad | Gurugram | Jaipur | Pune | Bhopal
Shift Timing : 2:00 PM – 10:00 PM IST
Experience : 8+ Years
Immediate Joiners Only (0–15 Days Notice)
Are you an expert Data Engineer ready to build large-scale data platforms on Google Cloud (GCP) ? Join Xebia and work on enterprise-grade data solutions using the best of modern data engineering tools and practices.
Key Responsibilities :
Design and build robust data pipelines for ingestion, transformation, and analytics
Strong experience in GCP ecosystem (mandatory)
Work with Big Data tools : Hadoop, Spark, Kafka
Hands-on experience in Databricks (Unity Catalog, Workflow, Performance Tuning)
Build scalable workflows using Airflow , Tivoli , etc.
Write transformation logic using DBT (preferred) or similar tools
Programming/scripting with Python , Java , Scala , or similar languages
Work on Linux systems and use Git-based tools for version control and CI/CD
Set up and manage containers using Docker / Kubernetes
Implement data-as-a-service APIs (preferred)
Adhere to software engineering best practices: testing, documentation, reviews
Interact efficiently with cross-functional teams—technical and non-technical
Requirements :
Minimum 8 years of data engineering experience
GCP experience is mandatory
Proven expertise with Databricks, Big Data stack, and workflow orchestration tools
Immediate availability (0–15 days notice period)
Comfortable working in a 2 PM to 10 PM IST shift
Strong communication and documentation skills
How to Apply :
Send your updated resume to with the following details:
Full Name
Total Experience
Current CTC
Expected CTC
Current Location
Preferred Xebia Location (from the list above)
Notice Period / Last Working Day
Primary Skills
LinkedIn Profile
Join Xebia and help shape next-gen data architectures on Google Cloud .
#Xebia #HiringNow #SeniorDataEngineer #GCPJobs #Databricks #BigData #Airflow #DBT #Spark #Python #Docker #Kubernetes #ImmediateJoiners #IndiaJobs #DataEngineering
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