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    Cloud Data Architect - chennai, India - Ford Motor Company

    Ford Motor Company
    Ford Motor Company chennai, India

    1 week ago

    Default job background
    Full time
    Description
  • Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.
  • Build ETL pipelines to ingest the data from heterogeneous sources into our system
  • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
  • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
  • Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements
  • Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
  • Implement security measures and data governance policies to ensure the integrity and confidentiality of data.
  • Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
  • Work with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics.
  • Troubleshoot and resolve issues related to data processing, storage, and retrieval.
  • Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.
  • Build ETL pipelines to ingest the data from heterogeneous sources into our system
  • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
  • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
  • Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements
  • Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
  • Implement security measures and data governance policies to ensure the integrity and confidentiality of data.
  • Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
  • Work with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics.
  • Troubleshoot and resolve issues related to data processing, storage, and retrieval.
  • Stay updated on industry best practices and emerging technologies within the GCP ecosystem for continuous improvement of data engineering processes.
  • Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives.
  • Design and implement scalable, fault-tolerant solutions for data ingestion, processing, and storage.
  • Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance.

    • Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures.

  • Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
  • Collaborate with DevOps teams to automate infrastructure provisioning and management tasks.
  • Optimize and tune database queries and indexing strategies for improved query performance.
  • Stay abreast of advancements in GCP services and incorporate relevant technologies into data engineering solutions.
  • Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment.
  • Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.

    • Bachelor's Degree

    At least 12 years of progressive experience

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