- Meta (Menlo Park, CA)
- …extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user ... of user behaviors for analysis or to power production systems . 5. Partner with Product and Engineering teams to...4. Conduct and automate analyses and data pipelines based ETL framework 15. 5. Metric design and forecasting **Public… more
- ICW Group (San Diego, CA)
- …and procedures to ensure the integrity, accuracy, and completeness of data across systems . + Ensure compliance with industry regulations (eg, GDPR, CCPA) and company ... Bachelor's degree required in Computer Science, Data Science, Information Systems , or a related field. + Minimum 7+ years...for querying, data validation, and analysis. + Experience with ** ETL /ELT** tools for data ingestion (eg, **Fivetran** ). +… more
- Acxiom (Sacramento, CA)
- …MLFlow), cloud-native data modernization strategies, and experience migrating legacy data systems to modern cloud data platforms. You will be instrumental in ... migrations (on-prem Hadoop, EDWs, etc.). + Define end-to-end architecture for ETL /ELT pipelines, data lakes, lakehouses, and real-time streaming platforms using… more
- Meta (Menlo Park, CA)
- …extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user ... of user behaviors for analysis or to power production systems . 5. Partner with Product and Engineering teams to...industry setting 15. 6. Machine learning techniques 16. 7. ETL (Extract, Transform, Load) processes 17. 8. Relational databases… more
- Meta (Menlo Park, CA)
- …extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user ... of user behaviors for analysis or to power production systems . 5. Partner with Product and Engineering teams to...and technologies: 11. 1. Machine learning techniques 12. 2. ETL (Extract, Transform, Load) processes 13. 3. Relational database… more
- Palo Alto Networks (Santa Clara, CA)
- …team, you will contribute to the entire development lifecycle of our systems . Your responsibilities will range from designing and building scalable backend services ... frameworks and internal tools. You will work on creating efficient, reliable systems that support our platform's core functionalities and enable other engineering… more
- LinkedIn (San Francisco, CA)
- …You'll be responsible for driving our analytics platform roadmap from legacy systems to modern, AI-powered solutions. You will manage our Ecosystem Business ... into technical solutions + Drive the migration from legacy systems (Azkaban) to modern data platforms (Airflow) + Lead...particularly with LLMs + Knowledge of data engineering principles, ETL pipelines, and data quality frameworks + Strong Python… more
- UCLA Health (Los Angeles, CA)
- …data integration, ensuring seamless interoperability between multiple data sources and systems + Enforce data governance standards, including data quality, metadata ... management, and data security protocols. + Develop and manage ETL (Extract, Transform, Load) processes to curate data from various sources into structured formats… more
- General Motors (Mountain View, CA)
- …cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud. Champion engineering excellence by continuously improving ... systems and processes + Consider the effects of projects...performance + 10+ years working with big data, python, ETL /ELT, data modeling, SQL, data warehousing, data lake, data… more
- WSP USA (San Francisco, CA)
- …using commercially available software packages and tools. + Extract, Transform, and Load ( ETL ) data from one system to another. + Demonstrate software ... per design specifications + Verify configurations via thorough end-to-end system testing, providing resolutions and feedback. + Develop detailed documentation… more