- Build test and implement Data Engineering - ETL, Data Integrations, Data Governance, Data Quality.
- Build reusable Data Engineering assets and frameworks.
- Identify opportunities to use existing data from multiple sources to inform data governance and strategy.
- Work closely with Data Scientists, Product Managers, and Data Strategy leads to understand ETL/Data Integration and Engineering requirements, design, test and implement appropriate data engineering solutions.
- Pipeline complex data from a variety of sources using diverse set of tools and techniques.
- Enable the development of key UX metrics to provide actionable insights to improve the user experience.
- Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field.
- 3+ years of industry experience in Data Engineering.
- 3+ years of work experience including hands-on technical experience with SQL, Python, PySpark, Jupyter Notebook, database design, and ETL processes.
- The ideal candidate will have proven experience on building modern data pipelines - Ingestion, Profiling, Integration, Summarization/Aggregation, Logging, DAG.
- You have strong experience building Data Quality frameworks and performing Exploratory Data Analysis (EDA).
- You have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda.
- Master's degree or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science or other related field.
- 2+ years of industry experience in data engineering focused on enhancing products and driving innovation.
- bility to communicate impact of data enhancements and influence teams and leaders.
- Creative thinker able to apply first-principles reasoning to solve complex problems.
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Data Engineer - San Francisco, United States - Triune Infomatics Inc
Description
Role:Data Engineer
Location:
Hybrid in Pleasanton, CA
Duration: 6 months
Areas of Responsibility Include: