Google Cloud Data Engineer

3 weeks ago


Kolkata, India Teamware Solutions Full time

Job Description 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 a variety of 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 using best practices for IAM, encryption, data cataloging, and auditing. - Collaborate with stakeholders to gather requirements, define data models, and deliver insights via BI tools. - Automate workflows and monitoring using tools like Cloud Monitoring, Logging, and Terraform or Deployment Manager. - Stay current with the latest GCP tools, features, and trends in cloud data engineering. Qualifications and Requirements: - Bachelor's degree in Computer Science, Data Engineering, or related field. - 3+ years of experience in data engineering, including at least 12 years on Google Cloud Platform. - Proficiency with SQL, Python, and/or Java for data processing and scripting. - Hands-on experience with GCP services like: - BigQuery - Cloud Storage - Dataflow / Dataproc - Pub/Sub - Composer - Cloud Functions - 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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