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Driving Business Outcomes through Strategic Data Solutions
3 weeks ago
This role involves creating robust data pipelines and frameworks to improve logging data efficacy.
Key Responsibilities:- Own the build out of problem-solving data marts for consumption by data science and BI teams, evaluating design and operational tradeoffs within systems.
- Design, develop, and maintain centralized data warehouse using data platforms.
- Create or contribute to frameworks that improve the efficacy of logging data, while working with the Engineering team to triage issues and resolve them.
- Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
- Influence product and cross-functional (engineering, data science, operations, strategy) teams to identify data opportunities to drive impact.
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- 5 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) 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).
