
Chief Data Architect
2 days ago
Role Overview
We are seeking an experienced Data Engineer to join our analytics division. As a key member of the team, you will conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams.
- Evaluate design and operational tradeoffs within systems to ensure seamless integration.
- Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the organization's centralized data warehouse.
- Work with the Engineering team to triage issues and resolve them while creating or contributing to frameworks that improve the efficacy of logging data.
- Perform data profiling to identify and comprehend data anomalies throughout the collection process.
- Influence product and cross-functional (engineering, data science, operations, strategy) teams to identify data opportunities to drive impact.
Experience & Education:
- Bachelor's degree in Computer Science, Mathematics, or a related field.
- 5 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R) for data manipulation, analysis, and automation.
- 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
- Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Master's degree in Engineering, Computer Science, Business, or a related field.
- Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
- Experience with experimentation infrastructure, and measurement approaches in a technology platform.
- Experience with data processing software (e.g., Hadoop, Spark) and algorithms (e.g., MapReduce, Flume).
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