What are the responsibilities and job description for the Lead Data Engineer – Data & AI, Supply Chain position at SSi People?
Job Title: Lead Data Engineer – Data & AI, Supply Chain
Location: Pleasanton, California (On-Site)
Job Summary: We are representing an opportunity for a hands-on technical leader to help design and deliver enterprise data products and analytics solutions across supply chain domains. Our team is seeking someone who can strengthen modern cloud data platforms, support high-quality engineering standards, and contribute to the foundation for future analytics and AI capabilities.
Responsibilities
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy
Location: Pleasanton, California (On-Site)
Job Summary: We are representing an opportunity for a hands-on technical leader to help design and deliver enterprise data products and analytics solutions across supply chain domains. Our team is seeking someone who can strengthen modern cloud data platforms, support high-quality engineering standards, and contribute to the foundation for future analytics and AI capabilities.
Responsibilities
- Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform.
- Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
- Lead technical design discussions, review code, and help improve engineering quality, performance, reliability, and cost efficiency.
- Collaborate with product, architecture, business, and engineering teams while supporting production issue resolution, mentoring, and Agile delivery activities.
- 8 years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
- Strong hands-on experience with Google Cloud Platform.
- Expert-level proficiency in Dataproc, BigQuery, SQL, and dbt.
- Strong understanding of ETL/ELT architecture, large-scale data processing, and data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
- Experience building scalable and maintainable cloud-native data pipelines, using Git, CI/CD pipelines, and engineering best practices.
- Excellent analytical, troubleshooting, communication, and collaboration skills; experience with Apache Airflow and Apache Kafka.
- PySpark, Python, data quality, metadata management, and data governance is preferred.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy