Senior Cloud Architect

3 days ago

Mysore, Karnataka, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Cloud Data Engineering Role

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We are seeking a highly experienced data engineer with 5+ years of experience in designing, building, and optimizing scalable data pipelines and architectures on Google Cloud Platform (GCP).

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The ideal candidate is hands-on with Google Cloud Storage (GCS), BigQuery, Apache Airflow, and Python, and is adept at managing complex data workflows and transformations at scale.

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Key Responsibilities:

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  • Design and implement highly scalable, reliable, and secure data pipelines on GCP using GCS, BigQuery, and Airflow.">
  • Develop robust ETL/ELT processes using Python and integrate with data orchestration tools (e.g., Airflow).">
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.">
  • Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization.">
  • Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.">
  • Automate and monitor data pipelines to ensure consistent and reliable data delivery.">
  • Contribute to architecture decisions and ensure adherence to data governance and security standards.">
  • Mentor junior engineers and promote best practices in data engineering and cloud usage.">
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Must-Have Skills:

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  • Google Cloud Platform (GCP): In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions.">
  • BigQuery (BQ): Expertise in data modeling, performance tuning, and large-scale analytics.">
  • Google Cloud Storage (GCS): Strong understanding of data storage, access patterns, and integration.">
  • Apache Airflow: Experience in authoring and managing DAGs for complex workflows.">
  • Python: Proficient in scripting and automation, including working with APIs, data processing libraries (e.g., pandas, PySpark), and custom operators in Airflow.">
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Preferred Qualifications:

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  • Experience with CI/CD pipelines for data workflows.">
  • Exposure to Dataflow, Pub/Sub, or other GCP data services.">
  • Familiarity with Terraform or Infrastructure as Code (IaC) on GCP.">
  • Strong problem-solving and communication skills.">
  • GCP certifications (e.g., Professional Data Engineer) are a plus.">
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