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Full Stack Data Engineer

Ford · Remote (Mexico) · Data Science

Remote (Mexico)Full-timeMid

About the role

The ideal candidate will have strong experience in data engineering, cloud technologies, and software development, with a passion for building reliable, scalable, and secure data solutions.Required technical expertise includes:
  • Strong proficiency in SQL, Python, and Java.
  • Hands-on experience designing, developing, and deploying cloud-based data pipelines using Google Cloud Platform (GCP), including BigQuery, Dataflow, and Dataproc.
  • Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases.
  • Understanding of Service-Oriented Architecture (SOA) and microservices-based solutions.
  • Knowledge of data governance, security controls, encryption, and data masking techniques.
  • Experience implementing CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform and Tekton.
  • Ability to monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency.
  • Strong analytical, problem-solving, and communication skills.

Originally posted on Himalayas