Principal Cloud Data Architect

2 days ago

Taguig, National Capital Region, Philippines beBeeData Full time ₱900,000 - ₱1,200,000
Job Title

Cloud Data Engineer Position

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This is an exciting opportunity to work as a Cloud Data Engineer and play a crucial role in designing, building, and maintaining data pipelines using Databricks. You will leverage your expertise in Snowflake, Google BigQuery, Python, and Google Cloud Platform to build robust data solutions supporting AI and analytics workloads.

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Key Responsibilities:

  • Design and develop data pipelines using Databricks to ensure efficient querying and resource utilization.
  • Manage and optimize data solutions on Snowflake and Google BigQuery to meet performance, reliability, and scalability requirements.
  • Develop automation scripts and workflows for data extraction, cleaning, and loading into various platforms.
  • Collaborate with AI teams to develop data integration points and data access layers supporting machine learning workloads.
  • Utilize GCP services to architect and deploy scalable data systems.
  • Ensure robust cloud infrastructure monitoring, logging, and alerting mechanisms to proactively identify and mitigate data pipeline issues.
  • Establish comprehensive data governance practices to ensure compliance with regulatory standards.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related fields.
  • 3-5+ years of experience as a data engineer with expertise in Databricks and structured data pipeline architectures.
  • Proficient in Databricks platform management, data pipeline construction, and optimization.
  • Strong expertise in Snowflake and GBQ, including data modeling, query optimization, and performance tuning.
  • Advanced proficiency in Python, particularly for data manipulation, ETL processes, and automation.
  • Extensive experience with GCP data services including Cloud Storage, BigQuery, Pub/Sub, and Dataflow.
  • Understanding of AI and analytics data requirements, including data preparation and feature engineering.

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