Lead Data Engineer

1 week ago


Irving, Texas, United States IVID TEK INC Full time

About Ivid Tek Inc.

Ivid Tek Inc. is a leading technology solutions provider specializing in data engineering and machine learning. We empower businesses to leverage the power of data through innovative solutions, driving growth and efficiency.

Lead Data Engineer - GCP & Azure

We are seeking a highly skilled and experienced Lead Data Engineer to join our growing team. In this role, you will play a pivotal part in designing, developing, and deploying cutting-edge data solutions across various platforms, including Google Cloud Platform (GCP) and Azure.

Responsibilities:
  • Data Solution Architect: Collaborate with stakeholders to identify opportunities for process improvement and enhanced customer experiences. Prototype innovative solutions using a phased approach (crawl, walk, run).
  • Machine Learning Integration: Work closely with data scientists and analysts to integrate new product features into our e-commerce website, in-store portals, and mobile applications.
  • Full ML Lifecycle Ownership: Lead the development and deployment of machine learning models throughout their entire lifecycle. This includes data exploration, feature engineering, model training, validation, and production integration (both batch and real-time models).
  • Automation & Scalability: Establish robust, scalable, and automated processes for data analysis, model development, validation, and implementation.
  • Software Development Excellence: Write efficient and maintainable code to deliver products in an iterative, continuous-release environment. Champion best software engineering practices within the team.
  • Cloud Native Expertise: Contribute to building cloud-native software for machine learning pipelines, leveraging GCP's strengths.
  • Community Engagement: Contribute to and leverage community best practices for data engineering and machine learning.
Qualifications:
  • Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, or a related field.
  • 10+ years of experience developing and deploying machine learning systems into production environments. Proven ability to work independently as a key contributor.
  • Proficiency with Python and the associated ecosystem (VS Code, Jupyter Notebooks).
  • Experience working with big data tools such as Hadoop, Spark, and Kafka.
  • Strong understanding of cloud computing solutions, particularly GCP. Experience with serverless code development is a plus.
  • Expertise in object-oriented/object function scripting languages (Python preferred).
  • CI/CD expert with experience in tools like GitHub Actions, Harness, and Jenkins.
  • Familiarity with Google BigQuery or similar data warehouses.
  • Experience working independently with Kubeflow pipelines and proposing best practices.
  • Knowledge of feature engineering, feature stores, and audit capabilities.
  • Expertise in standard software engineering methodologies (unit testing, test automation, continuous integration, code reviews, design documentation).
  • Experience with native ML orchestration systems such as Kubeflow, Step Functions, or Airflow.

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