Google Cloud Platform Data Engineer

1 week ago

Pune, India YouWin Technologies Full time

Job Title: GCP Data Engineer

Location: Offshore – India (Preferred: Pune / Indore)

Experience: 5+ Years

Role Overview

We are seeking a highly skilled GCP Data Engineer to join our team and support a US-based customer (Texas). The ideal candidate will have a strong background in designing, building, and maintaining data pipelines and architectures on Google Cloud Platform (GCP). This role requires deep technical expertise, problem-solving ability, and the capability to translate business needs into scalable technical solutions.

Key Responsibilities
  • Develop, test, and maintain data acquisition pipelines for large volumes of structured and unstructured data (batch and real-time) on GCP.
  • Build scalable and optimized datasets in alignment with business requirements.
  • Construct end-to-end big data pipeline architectures.
  • Collaborate with business stakeholders to identify opportunities for data acquisition and translate requirements into technical specifications.
  • Work extensively with GCP tools such as Python, SQL, DataFlow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Cloud Storage.
  • Use SAP SLT to replicate SAP tables into GCP.
  • Develop JSON-based messaging structures to integrate with multiple applications.
  • Implement DevOps & CI/CD practices (GitHub, Terraform) to ensure reliability, scalability, and automation of pipelines.
  • Ensure data security and compliance by implementing IAM roles, Policy Tags, and authorized views in BigQuery.
  • Design and implement ingestion pipelines using REST APIs.
  • Monitor, troubleshoot, and optimize pipelines with logs and alerts.
  • Recommend and drive improvements to enhance data quality, reliability, and efficiency.
Required Skills & Experience
  • 5+ years of experience as a Data Engineer with a focus on Google Cloud Platform.
  • Minimum 1 year hands-on experience with key GCP tools (Python, SQL, DataFlow, DataStream, Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Cloud Storage).
  • Strong understanding of data ingestion, CDC techniques, and real-time/batch pipeline orchestration.
  • Experience with SAP SLT for replicating SAP data into GCP (preferred).
  • Solid knowledge of data partitioning, clustering, and governance in BigQuery.
  • Exposure to DevOps/CI/CD tools (GitHub, Terraform).
  • Strong problem-solving and communication skills.


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