Cloud Data Architect

2 days ago

Hyderabad Secunderabad Telangana Bengaluru Bangalore Kolkata, India beBeeDataEngineer Full time ₹ 9,00,000 - ₹ 12,00,000
Job Overview

We are seeking a highly skilled Data Engineer to design and develop scalable data pipelines using Google Cloud services. The ideal candidate will have a strong understanding of data engineering principles, experience with GCP tools, and the ability to work collaboratively with stakeholders.

Key Responsibilities:
  • Design and develop scalable ETL/ELT pipelines using Dataflow, Dataproc, Apache Beam, Cloud Composer (Airflow), and other GCP services.
  • Build and maintain data lakes and data warehouses using BigQuery, Cloud Storage, and Cloud SQL/Spanner.
  • Implement and optimize data ingestion from various structured and unstructured sources using GCP-native tools and APIs.
  • Work with Pub/Sub, Cloud Functions, and Eventarc for real-time data processing and streaming pipelines.
  • Ensure data governance, quality, and security by implementing best practices for IAM, encryption, data cataloging, and auditing.
  • Collaborate with stakeholders to gather requirements, define data models, and deliver insights via business intelligence tools.
  • Automate workflows and monitoring using tools like Cloud Monitoring, Logging, and Terraform or Deployment Manager.
  • Stay up-to-date with the latest GCP tools, features, and trends in cloud data engineering.
Qualifications and Requirements:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • At least 3 years of experience in data engineering, including 1–2 years on Google Cloud Platform.
  • Proficiency with SQL, Python, and/or Java for data processing and scripting.
  • Hands-on experience with GCP services such as BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, Composer, Cloud Functions, and Solid understanding of data modeling, partitioning, performance tuning, and schema design.
  • Experience with DevOps practices and CI/CD pipelines for data projects.

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