Company Name

Ford ( Chennai )

Job Description

• Responsibilities
  • Design and build GCP data driven solutions for enterprise data warehouse and data lakes
  • Design and implement scalable data architectures on GCP, including data lakes, warehouses, and real-time processing systems.
  • Utilize ML Services like Vertex AI.
  • Develop and optimize ETL/ELT pipelines using tools like Python, SQL, and streaming technologies (e.g., Kafka, Apache Airflow).
  • Architect Historical and Incremental Loads and Refine Architecture on an ongoing basis
  • Manage and optimize data storage, partitioning, and clustering strategies for high performance and reliability, utilizing services such as BigQuery, Spark, Pub/Sub, and Object Storage.
  • Collaborate with data scientists, Data engineers, and other stakeholders to understand data needs and deliver solutions aligned with business objectives, security, and data governance.
  • Automate infrastructure and deployments using Infrastructure as Code (IaC) using tools like Terraform and CI/CD practices (e.g., Tekton) to ensure reliability and scalability.
  • Operationalize machine learning models by building data infrastructure and managing structured and unstructured data, supporting AI/ML/LLM workflows, including data labeling, classification, and document parsing.
  • Monitor and troubleshoot data pipelines and systems to identify and resolve issues related to performance, reliability, and cost-effectiveness.
  • Document data processes, pipeline designs, and architecture, contributing to knowledge transfer and system maintenance.

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