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2 weeks ago
A challenging data engineering role is available, where you'll work with our analytics division to drive operational efficiency and growth.
Key Responsibilities:- Create data marts for consumption by data science and business intelligence teams, evaluating design and operational tradeoffs within systems.
- Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the organization's centralized data warehouse.
- Develop frameworks that improve the efficacy of logging data, working closely with the technical team to troubleshoot issues.
- Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
- Influence product and cross-functional teams to identify data opportunities to drive impact.
- Bachelor's degree in Computer Science, Mathematics, or 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) 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 technical and sales 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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