
Senior Data Engineering Specialist
5 days ago
Key Skills & Responsibilities
- A senior data engineer will conceptualize, design, develop, and maintain robust data pipelines and ETL processes using data platforms for a centralized data warehouse.
- The role involves creating or contributing to frameworks that improve the efficacy of logging data while working with the engineering team to triage issues and resolve them.
- The ideal candidate will validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
Qualifications
- 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, 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.
Preferred qualifications:
- 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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