Job Title: GCP Data Engineer
Location: Bangalore (Hybrid to Client location)
Experience: 5+ Years
Employment Type: Full-Time
Job Summary
We are looking for an experienced GCP Data Engineer to design, build, and optimize scalable data pipelines on Google Cloud Platform. The ideal candidate will have strong expertise in Big Query, Python, and distributed data processing, along with hands-on experience in modern data engineering practices.
Key Responsibilities
Design and develop scalable data pipelines using Python and Py Spark / Dataflow
Build and optimize data solutions on Google Cloud Platform (GCP)
Work extensively with Big Query for data warehousing and performance tuning
Develop ETL/ELT processes for structured and unstructured data
Integrate data from multiple sources into cloud-based systems
Ensure data quality, reliability, and governance
Collaborate with Data Analysts, Data Scientists, and business stakeholders




Monitor, troubleshoot, and optimize data workflows
Required Skills & Qualifications
5+ years of experience in Data Engineering
Solid hands-on experience with GCP services (Big Query, Dataflow, Cloud Storage, Pub/Sub, Composer)
Proficiency in Python and SQL
Experience with Py Spark or Apache Beam
Strong understanding of ETL/ELT pipelines and data modeling
Experience in performance tuning and query optimization
Familiarity with version control tools like Git
Preferred Qualifications
Experience with orchestration tools like Cloud Composer (Airflow)
Knowledge of data lake / lakehouse architectures
Exposure to CI/CD pipelines and Dev Ops practices
Experience in migrating data from on-prem or other clouds to GCP

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