
Senior Data Engineer
1 day ago
The ideal candidate will be responsible for integrating into our agile scrum team and applying agile methodologies in software development, including rapid prototyping and outcome-based evaluation.
They will work with and contribute to our DevOps setup (continuous integration, etc.) for test-driven development on Google Cloud Platform.
We are seeking an experienced professional to write demanding SQL queries that extract, transform, and load data from storage to an appropriate format, using joins, nesting, and similar operations as an integral component of data processing pipelines to facilitate reporting and analytics.
The selected candidate will produce all required design specifications and drive the implementation of appropriate data models, schemas, and their associated processing and transformation pipelines, ensuring continuously stable running operations and satisfying changing business requirements.
We need a skilled professional to set up monitoring for data quality, implement data validation checks, and data quality dashboards, to ensure a high degree of trust in the data residing in our systems and the decisions supported by insights extracted from it.
Required knowledge includes:
- Broad knowledge of SQL for data processing and analysis
- Broad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms
- Good knowledge of new and emerging tools for extracting, ingesting, and processing large datasets (Apache Spark, Beam, Kafka, or equivalent)
- Good knowledge of digital product development principles and the importance of rapid validated learning cycles to optimize performance long term
- Good knowledge of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self-organizing cross-functional teams
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