Lead Data Engineer
1 week ago
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 & AzureWe 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.
- 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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